Instructions to use ydl233/bart_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ydl233/bart_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ydl233/bart_model") model = AutoModelForSeq2SeqLM.from_pretrained("ydl233/bart_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ydl233/bart_model: direct link, hf CLI and curl.
- Browser
- Download file 468 MB
-
https://huggingface.co/ydl233/bart_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ydl233/bart_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ydl233/bart_model/resolve/main/pytorch_model.bin
468 MB
- Xet hash:
- 9f335a395b37a03b42e17fec29fb3720636a244dce11021d3c2fdda47717662c
- Size of remote file:
- 468 MB
- SHA256:
- d3d34eafc9dd32403c1406453f9b28a834d198d99a0db03928e39894344c13d3
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