Instructions to use lucadiliello/bart-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lucadiliello/bart-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lucadiliello/bart-small") model = AutoModelForSeq2SeqLM.from_pretrained("lucadiliello/bart-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from lucadiliello/bart-small: direct link, hf CLI and curl.
- Browser
- Download file 282 MB
-
https://huggingface.co/lucadiliello/bart-small/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://lucadiliello/bart-small@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/lucadiliello/bart-small/resolve/refs%2Fpr%2F1/pytorch_model.bin
282 MB
- Xet hash:
- 89dc8ddc5995565cd7a993d27d56e46658dc7eb83418c16f6721fdffed118bdb
- Size of remote file:
- 282 MB
- SHA256:
- 89bad22b869043f20b044b01811a61aaf2ffc652cdd1d4f338d1dfaeee42897e
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