Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use ThirdEyeData/Text_Summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThirdEyeData/Text_Summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ThirdEyeData/Text_Summarization") model = AutoModelForSeq2SeqLM.from_pretrained("ThirdEyeData/Text_Summarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1961b245c6e60f48568e396787fee6bbf6e55ad0f0d4d096bdbed16573b08ade
- Size of remote file:
- 242 MB
- SHA256:
- 0018c958f961493a91b8fca9915d9b2bb5c3ffc534569f7bad55e781b8e145c5
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