Instructions to use allenai/bart-large-multi_lexsum-long-multitask 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-multitask 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-multitask") model = AutoModelForSeq2SeqLM.from_pretrained("allenai/bart-large-multi_lexsum-long-multitask", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from allenai/bart-large-multi_lexsum-long-multitask: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/allenai/bart-large-multi_lexsum-long-multitask/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://allenai/bart-large-multi_lexsum-long-multitask/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/allenai/bart-large-multi_lexsum-long-multitask/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 1e1c376631b42dcc54578e900c9406e1a99e2c6ec5ae640bdb3ecb7d34276c6a
- Size of remote file:
- 1.63 GB
- SHA256:
- 08a184b7828ded1b2c255ec129509338334ed832eaef1280c4f3a9de57491b2b
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