Instructions to use AI4Protein/deep_bpe_400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AI4Protein/deep_bpe_400 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AI4Protein/deep_bpe_400")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AI4Protein/deep_bpe_400") model = AutoModelForMaskedLM.from_pretrained("AI4Protein/deep_bpe_400") - Notebooks
- Google Colab
- Kaggle
Add model card
#2
by nielsr HF Staff - opened
This PR adds a model card by linking it to the paper VenusFactory: A Unified Platform for Protein Engineering Data Retrieval and Language Model Fine-Tuning and links to the code repository.
It also adds a relevant pipeline tag, and specifies the library.
tyang816 changed pull request status to merged