Instructions to use facebook/esm2_t6_8M_UR50D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/esm2_t6_8M_UR50D with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="facebook/esm2_t6_8M_UR50D")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("facebook/esm2_t6_8M_UR50D") model = AutoModelForMaskedLM.from_pretrained("facebook/esm2_t6_8M_UR50D") - Inference
- Notebooks
- Google Colab
- Kaggle
| { | |
| "model_max_length": 1000000000000000019884624838656, | |
| "tokenizer_class": "EsmTokenizer" | |
| } | |