Instructions to use facebook/esm2_t30_150M_UR50D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/esm2_t30_150M_UR50D with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="facebook/esm2_t30_150M_UR50D")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("facebook/esm2_t30_150M_UR50D") model = AutoModelForMaskedLM.from_pretrained("facebook/esm2_t30_150M_UR50D") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
Update TF weights 791c7a4
Upload tokenizer b57d162
Upload EsmForMaskedLM d7adc1e
Create README.md 654910d
Update TF weights d17669c
Update LM head bias dec8cf4
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