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 adapter_model.safetensors from SeprotHub/Model-RASH-ESMC-300M: direct link, hf CLI and curl.
- Browser
- Download file 18.5 MB
-
https://huggingface.co/SeprotHub/Model-RASH-ESMC-300M/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://SeprotHub/Model-RASH-ESMC-300M/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/SeprotHub/Model-RASH-ESMC-300M/resolve/main/adapter_model.safetensors
18.5 MB
- Xet hash:
- 76552d0e0826a0fd1f5a4920f4e65991633eacf706a2f7b4faa798a616e892df
- Size of remote file:
- 18.5 MB
- SHA256:
- 2ce085dbeb1616c98e5851c7ccecc9046ba0e31206b4a9693bc294b3990a80e7
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