Instructions to use ElnaggarLab/ankh3-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ElnaggarLab/ankh3-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ElnaggarLab/ankh3-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ElnaggarLab/ankh3-large") model = AutoModelForSeq2SeqLM.from_pretrained("ElnaggarLab/ankh3-large") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag, library name, link to paper and code
#1
by nielsr HF Staff - opened
This PR adds the pipeline tag and library name, enabling users to find the model.
The link to the paper page and the Github repository link are also added.
Thanks for the PR.
hazemessam changed pull request status to merged