chest2vec_0.6b_cxr

1
by
chest2vec
Embedding Model
OTHER
0.6B params
New
0 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
2GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
1GB+ RAM

Code Examples

Installationbash
# Install PyTorch with CUDA 12.6 support
pip install torch==2.6.0 torchvision==0.21.0 torchaudio==2.6.0 --index-url https://download.pytorch.org/whl/cu126

# Install transformers and trl
pip install transformers==4.57.3 trl==0.9.3

# Install deepspeed
pip install deepspeed==0.16.9

# Install flash-attention
pip install https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu12torch2.6cxx11abiTRUE-cp310-cp310-linux_x86_64.whl

# Install chest2vec package
git clone https://huggingface.co/chest2vec/chest2vec_0.6b_cxr
pip install -e .
Install chest2vec packagebash
bash install_deps.sh
Requirementspython
from chest2vec import Chest2Vec

# Load model from Hugging Face Hub
m = Chest2Vec.from_pretrained("chest2vec/chest2vec_0.6b_cxr", device="cuda:0")

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.