Instructions to use Rostlab/prot_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rostlab/prot_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Rostlab/prot_bert")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Rostlab/prot_bert", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9b44e34db5a589c8e838d94cb7ac2d6ff030ae5dd5c0b91e2f9b42e417e5c20
- Size of remote file:
- 1.68 GB
- SHA256:
- 6ea3edd26cfefc3111176100ee2a027ed510f9c86b63e5b53a2a050b59f2af9d
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