Transformers
PyTorch
TensorBoard
bart
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use Kevincp560/bart-large-finetuned-pubmed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kevincp560/bart-large-finetuned-pubmed with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Kevincp560/bart-large-finetuned-pubmed") model = AutoModelForSeq2SeqLM.from_pretrained("Kevincp560/bart-large-finetuned-pubmed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea22b8712dac3cfe170f191d0d1b80728fc9c3198b9cb220aae69d8a7ddf63cf
- Size of remote file:
- 3.18 kB
- SHA256:
- d4cdd818b9c28aadd12669f6390f92506234a6ea64c85c5148745a84b805ecb4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.