Instructions to use mapra2025/msa_prot_t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mapra2025/msa_prot_t5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mapra2025/msa_prot_t5") model = AutoModelForSeq2SeqLM.from_pretrained("mapra2025/msa_prot_t5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af47b5ca08fb793f6c0419cc363b9660d90c8f63dec05812bc8b6a72427acca2
- Size of remote file:
- 1.31 GB
- SHA256:
- f7d792ac079c7307faa1f9a5c919f9fa5fe393163ba1d030d34a76e7a4831624
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