Instructions to use cuongtran/BARTTextSummarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuongtran/BARTTextSummarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cuongtran/BARTTextSummarization") model = AutoModelForSeq2SeqLM.from_pretrained("cuongtran/BARTTextSummarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 370f96985d3bd18b054f04f2bad85ccb50c9b15194da30c835c2bc9664a5a2f8
- Size of remote file:
- 1.68 GB
- SHA256:
- bd8d32100025bace222bf8aa143419e6f8ea8bd42ddb140d037ca95f6d1ab658
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