Instructions to use miniproject18/bart-multi-news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use miniproject18/bart-multi-news with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("miniproject18/bart-multi-news") model = AutoModelForSeq2SeqLM.from_pretrained("miniproject18/bart-multi-news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from miniproject18/bart-multi-news: direct link, hf CLI and curl.
- Browser
- Download file 920 MB
-
https://huggingface.co/miniproject18/bart-multi-news/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://miniproject18/bart-multi-news/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/miniproject18/bart-multi-news/resolve/main/pytorch_model.bin
920 MB
- Xet hash:
- 63bfe7f2a625ee41f1922b19030e2375c018d7c0e7d14860bb92e64986281e49
- Size of remote file:
- 920 MB
- SHA256:
- 4ee333aa693ec6141c35b709065bfab70d45b47875a462b80709efad3c70a3a1
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