Instructions to use AI4Protein/deep_unigram_50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AI4Protein/deep_unigram_50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AI4Protein/deep_unigram_50")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AI4Protein/deep_unigram_50") model = AutoModelForMaskedLM.from_pretrained("AI4Protein/deep_unigram_50") - Notebooks
- Google Colab
- Kaggle
Add model card and metadata
#2
by nielsr HF Staff - opened
This PR adds a model card with the appropriate metadata, including the pipeline_tag, library_name, and license. It also includes a brief description of the model and links to the paper and GitHub repository.
tyang816 changed pull request status to merged