Instructions to use AISE-TUDelft/BinT5-C with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AISE-TUDelft/BinT5-C with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AISE-TUDelft/BinT5-C") model = AutoModelForSeq2SeqLM.from_pretrained("AISE-TUDelft/BinT5-C") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e91b094eb0f695e7c192946fc5b0b71743ffad28d3dda350a93f6f25ccfa4402
- Size of remote file:
- 892 MB
- SHA256:
- cc09fe9880132eaf2e6a99a780def1d902a9b0409e6982e5169cbd2c56b8aba2
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