MoLFormer-XL-both-10pct

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87M
license:apache-2.0
by
ibm-research
Embedding Model
OTHER
Good
181K downloads
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Edge AI:
Mobile
Laptop
Server
1GB+ RAM
Mobile
Laptop
Server
Quick Summary

--- license: apache-2.

Device Compatibility

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

Code Examples

Example codepythontransformers
import torch
from transformers import AutoModel, AutoTokenizer

model = AutoModel.from_pretrained("ibm/MoLFormer-XL-both-10pct", deterministic_eval=True, trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("ibm/MoLFormer-XL-both-10pct", trust_remote_code=True)

smiles = ["Cn1c(=O)c2c(ncn2C)n(C)c1=O", "CC(=O)Oc1ccccc1C(=O)O"]
inputs = tokenizer(smiles, padding=True, return_tensors="pt")
with torch.no_grad():
    outputs = model(**inputs)
outputs.pooler_output

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