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:
# 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
- Xet hash:
- 89dc8ddc5995565cd7a993d27d56e46658dc7eb83418c16f6721fdffed118bdb
- Size of remote file:
- 282 MB
- SHA256:
- 89bad22b869043f20b044b01811a61aaf2ffc652cdd1d4f338d1dfaeee42897e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.