Instructions to use Synthyra/ESMplusplus_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/ESMplusplus_large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Synthyra/ESMplusplus_large", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Synthyra/ESMplusplus_large", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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doi = { 10.57967/hf/3726 },
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publisher = { Hugging Face }
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```
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### Note on the name
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The original thought was ESMC++ but anything with C would technically go against the ESM license agreement - so ESM++. Open to suggestions!
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doi = { 10.57967/hf/3726 },
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publisher = { Hugging Face }
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```
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