Instructions to use SeprotHub/Model-RASH-ESMC-300M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SeprotHub/Model-RASH-ESMC-300M with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("EvolutionaryScale/esmc-300m-2024-12") model = PeftModel.from_pretrained(base_model, "SeprotHub/Model-RASH-ESMC-300M") - Notebooks
- Google Colab
- Kaggle
Download Model-Demo-ESMC-300M.zip from SeprotHub/Model-RASH-ESMC-300M: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/SeprotHub/Model-RASH-ESMC-300M/resolve/main/Model-Demo-ESMC-300M.zip
- Command line
-
hf download hf://SeprotHub/Model-RASH-ESMC-300M/Model-Demo-ESMC-300M.zip
-
curl -L -o Model-Demo-ESMC-300M.zip https://huggingface.co/SeprotHub/Model-RASH-ESMC-300M/resolve/main/Model-Demo-ESMC-300M.zip
17.1 MB
- Xet hash:
- 36b2a9d8e3c5def61abd7cf5de70c089cd967ecdabaac5714434681b30627716
- Size of remote file:
- 17.1 MB
- SHA256:
- 2c4dab8b9e9919ec8b4d07fb6941fede673df2236d8797576c0a4d743ebc5879
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