Instructions to use learn3r/bart_large_gov with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use learn3r/bart_large_gov with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("learn3r/bart_large_gov") model = AutoModelForSeq2SeqLM.from_pretrained("learn3r/bart_large_gov") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27b248cfa5f52e7bf914915c74eeb3b21a7bdc8be08e3f69f3a06649d1ffbab6
- Size of remote file:
- 4.54 kB
- SHA256:
- b7d5530828247cf25e2da54950d361a9fb6cd00493a46f22a0903a91e34c9249
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.