Instructions to use facebook/esm2_t12_35M_UR50D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/esm2_t12_35M_UR50D with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="facebook/esm2_t12_35M_UR50D")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("facebook/esm2_t12_35M_UR50D") model = AutoModelForMaskedLM.from_pretrained("facebook/esm2_t12_35M_UR50D", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload EsmForMaskedLM
0e75f64
-
Update LM head bias
Matt91d9bd4
-
Upload EsmForMaskedLM
fe156c6
-
Upload EsmForMaskedLM
5822aaf