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:
- 9a040b28ece9bed51ca369a3cb57efe8f50ee656783cfe1a971922c9bb9e21a6
- Size of remote file:
- 1.31 GB
- SHA256:
- e0dbd897bd2fe2cd29026fed447d8bb50cc8b8b53ce67ab4f8190926432d9c73
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