Instructions to use Rostlab/ProstT5_fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rostlab/ProstT5_fp16 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Rostlab/ProstT5_fp16") model = AutoModelForSeq2SeqLM.from_pretrained("Rostlab/ProstT5_fp16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fffc663c4f769b29b42c5737ada8748e5f7333524fb41bac21ef818d39a113a5
- Size of remote file:
- 5.64 GB
- SHA256:
- b1a9ffcef73280cc57f090ad6446b4116b574b6c75d83ccc32778282f7f00855
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