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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Kevincp560/bart-base-finetuned-pubmed: direct link, hf CLI and curl.
- Browser
- Download file 3.18 kB
-
https://huggingface.co/Kevincp560/bart-base-finetuned-pubmed/resolve/main/training_args.bin
- Command line
-
hf download hf://Kevincp560/bart-base-finetuned-pubmed/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Kevincp560/bart-base-finetuned-pubmed/resolve/main/training_args.bin
3.18 kB
- Xet hash:
- b7d70e22bc1019286fa358bbb841194ea7761357d7744446aa0346b37bdc223e
- Size of remote file:
- 3.18 kB
- SHA256:
- daf9461c3aeb90a36c7c64c2ebe53e1a91a5c8e5dc490b4d10f4fbca873fb331
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