Instructions to use AISE-TUDelft/BinT5-Stripped with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AISE-TUDelft/BinT5-Stripped with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AISE-TUDelft/BinT5-Stripped") model = AutoModelForSeq2SeqLM.from_pretrained("AISE-TUDelft/BinT5-Stripped", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from AISE-TUDelft/BinT5-Stripped: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/AISE-TUDelft/BinT5-Stripped/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://AISE-TUDelft/BinT5-Stripped/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AISE-TUDelft/BinT5-Stripped/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- bca94d63fdbfcfcea88adc2d46454aca76c6d89af63153e503549941cb2fe65c
- Size of remote file:
- 892 MB
- SHA256:
- faa4cc3bb53cfba3dd47c1453a9e596dfc5aedc26eafb1a286619ac8d1e9c8fe
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