Instructions to use prodm93/esm2_3B_Aw_combTCL_lambda_001 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prodm93/esm2_3B_Aw_combTCL_lambda_001 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("prodm93/esm2_3B_Aw_combTCL_lambda_001", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from prodm93/esm2_3B_Aw_combTCL_lambda_001: direct link, hf CLI and curl.
- Browser
- Download file 11.8 MB
-
https://huggingface.co/prodm93/esm2_3B_Aw_combTCL_lambda_001/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://prodm93/esm2_3B_Aw_combTCL_lambda_001/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/prodm93/esm2_3B_Aw_combTCL_lambda_001/resolve/main/adapter_model.safetensors
11.8 MB
- Xet hash:
- c4b3f045171ca3b91eeee1865a21c1f424614487b26b85f806a85adf9da4e9a8
- Size of remote file:
- 11.8 MB
- SHA256:
- e58f9b444ccba13872a4cf0f85c4f069ba20cfacc18d753befdc75ae4e2f923e
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