Instructions to use allenai/led-large-16384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/led-large-16384 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("allenai/led-large-16384") model = AutoModelForSeq2SeqLM.from_pretrained("allenai/led-large-16384", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from allenai/led-large-16384: direct link, hf CLI and curl.
- Browser
- Download file 1.84 GB
-
https://huggingface.co/allenai/led-large-16384/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://allenai/led-large-16384/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/allenai/led-large-16384/resolve/main/pytorch_model.bin
1.84 GB
- Xet hash:
- 2e1e04f16aeccee422eeeafdb0fcc566905bd88111b42696554ac7240345e974
- Size of remote file:
- 1.84 GB
- SHA256:
- b31752450099a5eb3fcd5199001c5a6831e4a32e13f17a287a5aa6e10801d081
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