Instructions to use Synthyra/ESMFold2-Experimental-Fast-Cutoff2025 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/ESMFold2-Experimental-Fast-Cutoff2025 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Synthyra/ESMFold2-Experimental-Fast-Cutoff2025", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Synthyra/ESMFold2-Experimental-Fast-Cutoff2025", trust_remote_code=True) model = AutoModel.from_pretrained("Synthyra/ESMFold2-Experimental-Fast-Cutoff2025", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Synthyra/ESMFold2-Experimental-Fast-Cutoff2025: direct link, hf CLI and curl.
- Browser
- Download file 717 MB
-
https://huggingface.co/Synthyra/ESMFold2-Experimental-Fast-Cutoff2025/resolve/main/model.safetensors
- Command line
-
hf download hf://Synthyra/ESMFold2-Experimental-Fast-Cutoff2025/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Synthyra/ESMFold2-Experimental-Fast-Cutoff2025/resolve/main/model.safetensors
717 MB
- Xet hash:
- b41dae6fc0780d3568ee1d893b96c76a448f0ec292f36609043fd05eef313634
- Size of remote file:
- 717 MB
- SHA256:
- 4e903b740ad6ad704ec60881bfd593e0d6c874a630ffa0f0838276e0b665088f
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