Instructions to use Jason8117/bart_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jason8117/bart_finetuning with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jason8117/bart_finetuning") model = AutoModelForSeq2SeqLM.from_pretrained("Jason8117/bart_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Jason8117/bart_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 187 MB
-
https://huggingface.co/Jason8117/bart_finetuning/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Jason8117/bart_finetuning/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Jason8117/bart_finetuning/resolve/main/pytorch_model.bin
187 MB
- Xet hash:
- ab7199385f0c0898566d922b392c4a646f7b5ad21f764d7719968a505990eebb
- Size of remote file:
- 187 MB
- SHA256:
- 1ce9aae54aea605c1739fb51f3d7dcc08461b8dfbdfe97d4d67c940042ef99bf
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