Instructions to use MilaDeepGraph/ProtST-ESM1b-LocalizationPrediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MilaDeepGraph/ProtST-ESM1b-LocalizationPrediction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MilaDeepGraph/ProtST-ESM1b-LocalizationPrediction", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MilaDeepGraph/ProtST-ESM1b-LocalizationPrediction", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from MilaDeepGraph/ProtST-ESM1b-LocalizationPrediction: direct link, hf CLI and curl.
- Browser
- Download file 2.61 GB
-
https://huggingface.co/MilaDeepGraph/ProtST-ESM1b-LocalizationPrediction/resolve/main/model.safetensors
- Command line
-
hf download hf://MilaDeepGraph/ProtST-ESM1b-LocalizationPrediction/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/MilaDeepGraph/ProtST-ESM1b-LocalizationPrediction/resolve/main/model.safetensors
2.61 GB
- Xet hash:
- b8b7901ce5f237d3b7fc2bcbcdb08bbfc315c3849af0fdd7cd316608f38b377e
- Size of remote file:
- 2.61 GB
- SHA256:
- 6e88c93302cab9b2368e7114a44c32b2fa5b6f6cd89cbbeda098c7fc4bb73b0d
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