Instructions to use cuongtran/RobertaTextSummarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuongtran/RobertaTextSummarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cuongtran/RobertaTextSummarization") model = AutoModelForSeq2SeqLM.from_pretrained("cuongtran/RobertaTextSummarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6509f355db0ca4f5589956b2d6c03efb5a66d74a795bf83a6fb3e66cbebb5ed3
- Size of remote file:
- 656 MB
- SHA256:
- 83764a4e3989e7ddddaed019888b8994a10db7fde4477fcb77f7fedfeee22ff9
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