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:
- f4dada67bcdfcfc77e570c28c2a000449a95ae96ebf90632efc4bc6997316bf9
- Size of remote file:
- 242 MB
- SHA256:
- 4294c05dcb0ba039985b68ab1b0d0cc8273ba15bf6ec27263a5b874aa9726baf
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