Instructions to use AI4Protein/deep_bpe_800 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AI4Protein/deep_bpe_800 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AI4Protein/deep_bpe_800")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AI4Protein/deep_bpe_800") model = AutoModelForMaskedLM.from_pretrained("AI4Protein/deep_bpe_800", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Verified signatureThis PR adds a basic model card for the VenusFactory model, ensuring people can find it. It also adds a link to the paper and Github repository.4c247fe
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