Instructions to use facebook/esm2_t48_15B_UR50D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/esm2_t48_15B_UR50D with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="facebook/esm2_t48_15B_UR50D")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("facebook/esm2_t48_15B_UR50D") model = AutoModelForMaskedLM.from_pretrained("facebook/esm2_t48_15B_UR50D", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Upload EsmForMaskedLM f6a50bf
Create README.md b13216a
Update LM head bias c3ed4ea
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