Instructions to use carnival13/rt5_da_eng_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use carnival13/rt5_da_eng_final with Transformers:
# Load model directly from transformers import AutoTokenizer, RankT5 tokenizer = AutoTokenizer.from_pretrained("carnival13/rt5_da_eng_final") model = RankT5.from_pretrained("carnival13/rt5_da_eng_final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffdb384dccb23dfcf97d5dbec7a56ee7f978116547984b0453e5f6945947b75c
- Size of remote file:
- 892 MB
- SHA256:
- 5162f4760a652afca68077f14c9b6f31bbff716bd2e0d727dafb10dbfeec43ad
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