EXAONE-Path-MSI

Name: EXAONE-Path-MSI
Author: LGAI-EXAONE

—

LGAI-EXAONE

Other

OTHER

New

35 downloads

Early-stage

Try on Hugging Face Add to Compare

Edge AI:

Mobile

Laptop

Server

Unknown

Mobile

Laptop

Server

Quick Summary

AI model with specialized capabilities.

Code Examples

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Quick Startbash

pip install -r requirements.txt

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Installationpython

from models.exaonepath import EXAONEPathV1p5Downstream
 
hf_token = "YOUR_HUGGING_FACE_ACCESS_TOKEN"
model = EXAONEPathV1p5Downstream.from_pretrained(
    "LGAI-EXAONE/EXAONE-Path-MSI",
    use_auth_token=hf_token
)
probs = model("./samples/MSI_high.svs")
print(f"P(CRCMSI) = {probs[1]:.3f}")

Deploy This Model

Production-ready deployment in minutes

Together.ai

Instant API access to this model

Fastest API

Production-ready inference API. Start free, scale to millions.

Try Free API

Replicate

One-click model deployment

Easiest Setup

Run models in the cloud with simple API. No DevOps required.

Deploy Now

Disclosure: We may earn a commission from these partners. This helps keep LLMYourWay free.