Instructions to use facebook/esm-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/esm-1b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="facebook/esm-1b")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("facebook/esm-1b") model = AutoModelForMaskedLM.from_pretrained("facebook/esm-1b") - Inference
- Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
This repository has been deprecated and will be deleted shortly. All ESM models have been moved to their official names to match their naming at the original FAIR repo. You can now find the ESM-1b model at facebook/esm1b_t33_650M_UR50S.
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