Instructions to use AI4Protein/deep_bpe_3200 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AI4Protein/deep_bpe_3200 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AI4Protein/deep_bpe_3200")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AI4Protein/deep_bpe_3200") model = AutoModelForMaskedLM.from_pretrained("AI4Protein/deep_bpe_3200") - Notebooks
- Google Colab
- Kaggle
Add model card with metadata
#2
by nielsr HF Staff - opened
This PR adds a model card with the necessary metadata including library_name, pipeline_tag, and license. It also includes links to the paper and the GitHub repository.
tyang816 changed pull request status to merged