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:
- b8f85d7e3743ca83eac6770db982c433401d8657068ff705b4a94545c3507838
- Size of remote file:
- 2.99 kB
- SHA256:
- f5a513a5d83ba797279e54192c065f3206dbfc8dd98ea7d0788de591927d78b5
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