Transformers
PyTorch
t5
text2text-generation
biology
protein
protein language model
protein embedding
text-generation-inference
Instructions to use ElnaggarLab/ankh-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ElnaggarLab/ankh-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ElnaggarLab/ankh-base") model = AutoModelForSeq2SeqLM.from_pretrained("ElnaggarLab/ankh-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2bedec1990df107096b1ba10dd89ebc5b826913ca5f78f8297d964242db783b9
- Size of remote file:
- 2.95 GB
- SHA256:
- 9b2a886374f0ff4a893f4e7a989deed76bb2458c8998bd5202ea8e97d92ddcc3
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