Instructions to use Synthyra/ESMFold2-300 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/ESMFold2-300 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Synthyra/ESMFold2-300", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Synthyra/ESMFold2-300", trust_remote_code=True) model = AutoModel.from_pretrained("Synthyra/ESMFold2-300", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
26 days ago
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Record the current runtime bundle identity for the embedded confidence release
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Embed evaluated confidence head and publish current training metrics
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27 days ago
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Bind esmfold2_300 to its verified current EMA confidence head
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Record published checkpoint pins and validation status
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Publish ESMFold2 small backbone checkpoint with FastPLMs runtime
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