Transformers
PyTorch
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use buianh0803/Text_Summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use buianh0803/Text_Summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("buianh0803/Text_Summarization") model = AutoModelForSeq2SeqLM.from_pretrained("buianh0803/Text_Summarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e46d62cbb8acd42c26a5f52715b98946098885cb5a21d7704e894acc90da8afc
- Size of remote file:
- 4.22 kB
- SHA256:
- 3a6adb08629b6096e0ffe3aeec0288da95de042371c4fe3dcfea0010d233b9d1
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