Instructions to use AI4Protein/deep_bpe_1600 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AI4Protein/deep_bpe_1600 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AI4Protein/deep_bpe_1600")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AI4Protein/deep_bpe_1600") model = AutoModelForMaskedLM.from_pretrained("AI4Protein/deep_bpe_1600") - Notebooks
- Google Colab
- Kaggle
Add model card for VenusFactory RoFormer model
#2
by nielsr HF Staff - opened
This PR adds a model card for the RoFormer model used in the VenusFactory project, as described in VenusFactory: A Unified Platform for Protein Engineering Data Retrieval and Language Model Fine-Tuning. The card includes metadata specifying the pipeline tag, library name, and a permissive license (MIT).
tyang816 changed pull request status to merged