Instructions to use Adapting/KeyBart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Adapting/KeyBart with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Adapting/KeyBart") model = AutoModelForSeq2SeqLM.from_pretrained("Adapting/KeyBart", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Adapting/KeyBart: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/Adapting/KeyBart/resolve/ce749c58c19bd4b77f5d09bebb6f90114f77fc58/pytorch_model.bin
- Command line
-
hf download hf://Adapting/KeyBart@ce749c58c19bd4b77f5d09bebb6f90114f77fc58/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Adapting/KeyBart/resolve/ce749c58c19bd4b77f5d09bebb6f90114f77fc58/pytorch_model.bin
1.63 GB
- Xet hash:
- 0e2c2fa1c15e3caba2fe28c624192c46948902efdd86003a417a67ef58cceb3f
- Size of remote file:
- 1.63 GB
- SHA256:
- 878825ad565c26f2c1918cde63462e3e51fa3c2db4855f5b45226a77d6056e37
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