Instructions to use Rocketknight1/esm2_t12_35M_UR50D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rocketknight1/esm2_t12_35M_UR50D with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Rocketknight1/esm2_t12_35M_UR50D")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Rocketknight1/esm2_t12_35M_UR50D") model = AutoModelForMaskedLM.from_pretrained("Rocketknight1/esm2_t12_35M_UR50D") - Notebooks
- Google Colab
- Kaggle
Commit ·
34b3b66
1
Parent(s): 4f44aaa
Upload EsmForMaskedLM
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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