Instructions to use allenai/bart-large-multi_lexsum-short-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-short-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-short-tiny") model = AutoModelForSeq2SeqLM.from_pretrained("allenai/bart-large-multi_lexsum-short-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from allenai/bart-large-multi_lexsum-short-tiny: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/allenai/bart-large-multi_lexsum-short-tiny/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://allenai/bart-large-multi_lexsum-short-tiny/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/allenai/bart-large-multi_lexsum-short-tiny/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 134a07b6ab32d4b038300d7999bf9a4fe05e6239b17ff5a99901ae4bc0286209
- Size of remote file:
- 1.63 GB
- SHA256:
- 3fb9a91b90f5170536f68b38c8ed3c47739fa47d9ba6bb8d476b8187ceeaf560
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.