Instructions to use mapra2025/prot_t5_cluster_seq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mapra2025/prot_t5_cluster_seq with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mapra2025/prot_t5_cluster_seq") model = AutoModelForSeq2SeqLM.from_pretrained("mapra2025/prot_t5_cluster_seq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db9c7eb16b316dd4b503fbd100abfbc6e65d163404dafaa52eec8d3f2523eaec
- Size of remote file:
- 5.78 kB
- SHA256:
- c7c329d167e7d14be2f8dfb01d9d09bf94b0cf712c4f3804999560abc9cb7f3e
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