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:
- 2d9b0370d97ff615c59282f0109b32bf5108964f7f5aae6a10ed4f9dc9f2c860
- Size of remote file:
- 5 GB
- SHA256:
- e080d6e33b96898268b7f338a62e19b719e81a6a3d7f435e7cfe8e300682a048
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