Instructions to use mapra2025/msa_prot_t5_repr_seq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mapra2025/msa_prot_t5_repr_seq with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mapra2025/msa_prot_t5_repr_seq") model = AutoModelForSeq2SeqLM.from_pretrained("mapra2025/msa_prot_t5_repr_seq") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d68bfd6f15647526737e8db3be30eb769e93e95744cddbf6ea03ce85fe69b53d
- Size of remote file:
- 5 GB
- SHA256:
- e68e4c5520aeaa60502e4db93e9d759106fc40e2fd78825f4eb795c0db55f885
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