Instructions to use allenai/bart-large-multi_lexsum-long-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/bart-large-multi_lexsum-long-tiny with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("allenai/bart-large-multi_lexsum-long-tiny") model = AutoModelForSeq2SeqLM.from_pretrained("allenai/bart-large-multi_lexsum-long-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from allenai/bart-large-multi_lexsum-long-tiny: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/allenai/bart-large-multi_lexsum-long-tiny/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://allenai/bart-large-multi_lexsum-long-tiny/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/allenai/bart-large-multi_lexsum-long-tiny/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 0e8330414aba1764aba3094a4d5e34d04dee1aa3f0ea666b5bd6b372be3a6751
- Size of remote file:
- 1.63 GB
- SHA256:
- a07c8a876706bc9ff963227a4d91ff701edc685f470a14067b768c592ec7fb76
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