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:
- f026aa0ab0a109348215b454f637c56f2a02f3c4ca918c8c2a4997a17c126a3f
- Size of remote file:
- 4.97 GB
- SHA256:
- f76c219b9dfc58b8559cf1080d7c31c91d6167a0d30d657efc4ba90d4b2a48bc
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