Instructions to use Synthyra/ESMplusplus_6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/ESMplusplus_6B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Synthyra/ESMplusplus_6B", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Synthyra/ESMplusplus_6B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload config
Browse files
README.md
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license: mit
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# ESM++ 6B
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library_name: transformers
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license: mit
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- biology
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- esm
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- protein
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- masked-language-modeling
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# ESM++ 6B
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