Instructions to use Yale-CompBio/ft-esm-650m-t36-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yale-CompBio/ft-esm-650m-t36-hf with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Yale-CompBio/ft-esm-650m-t36-hf") model = AutoModel.from_pretrained("Yale-CompBio/ft-esm-650m-t36-hf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Yale-CompBio/ft-esm-650m-t36-hf: direct link, hf CLI and curl.
- Browser
- Download file 2.61 GB
-
https://huggingface.co/Yale-CompBio/ft-esm-650m-t36-hf/resolve/main/model.safetensors
- Command line
-
hf download hf://Yale-CompBio/ft-esm-650m-t36-hf/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Yale-CompBio/ft-esm-650m-t36-hf/resolve/main/model.safetensors
2.61 GB
- Xet hash:
- db03ceb3cc62090ef42b4f8b41b77f1acb1bd03f109846ea86cb4b20beae959b
- Size of remote file:
- 2.61 GB
- SHA256:
- cb4df16dc7a96129f37b81a4a46f698a18453efb4fac4efa774565d3162d41d7
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