Instructions to use ModelTC/bart-base-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelTC/bart-base-xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ModelTC/bart-base-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("ModelTC/bart-base-xsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a08c5a60a10bd1ca86e09847b5c8aab8c30552691698eb4b08bc5dd674df7ab7
- Size of remote file:
- 623 Bytes
- SHA256:
- 7a4d52ca32d90c332eea073c953c4ddc1ae9cfc78a8e90e95dedece59d83b3b2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.