Transformers
PyTorch
TensorBoard
bart
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use Kevincp560/bart-base-finetuned-pubmed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kevincp560/bart-base-finetuned-pubmed with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Kevincp560/bart-base-finetuned-pubmed") model = AutoModelForSeq2SeqLM.from_pretrained("Kevincp560/bart-base-finetuned-pubmed") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85644c6254436a1a0b17dae793917f32c254c41c6bd41fa8393e108466eb8d9a
- Size of remote file:
- 558 MB
- SHA256:
- 530e6dbe712e5dc0df8461145967782d2f5436e64d698e0d46a3458abe517525
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.