Transformers
PyTorch
t5
text2text-generation
biology
protein
protein language model
protein embedding
text-generation-inference
Instructions to use ElnaggarLab/ankh2-ext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ElnaggarLab/ankh2-ext2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ElnaggarLab/ankh2-ext2") model = AutoModelForSeq2SeqLM.from_pretrained("ElnaggarLab/ankh2-ext2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cadc710118da1502e5a6a85b4a0850677be3972ee8813fb7e34177534b1d48cc
- Size of remote file:
- 7.52 GB
- SHA256:
- 2df583f28f111276ee22a7b76007f4297e9a69766d60bccd9c8d7169c06ac606
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