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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("facebook/esm-1b") model = AutoModelForMaskedLM.from_pretrained("facebook/esm-1b", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#2)
- Adding `safetensors` variant of this model (b8abb031e01c68877d85be40c053eff10598c1b0) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>6fb1062
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upload initial model/vocab/config
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