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")# pip install -U transformers accelerate # 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
Matt commited on
Commit ·
c3ed4ea
1
Parent(s): b14d9cb
Update LM head bias
Browse files- pytorch_model-00001-of-00007.bin +2 -2
- pytorch_model-00002-of-00007.bin +2 -2
- pytorch_model-00003-of-00007.bin +2 -2
- pytorch_model-00004-of-00007.bin +2 -2
- pytorch_model-00005-of-00007.bin +2 -2
- pytorch_model-00006-of-00007.bin +2 -2
- pytorch_model-00007-of-00007.bin +2 -2
- pytorch_model.bin.index.json +1 -2
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