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, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("ThirdEyeData/Text_Summarization") model = AutoModelForMultimodalLM.from_pretrained("ThirdEyeData/Text_Summarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 185c109ef5461db68baa45290139abf0eece13b80aff63a0fbf96bdd2479a800
- Size of remote file:
- 4.09 kB
- SHA256:
- 9738b69b1bfe01c4b74a2046d11ad8aad924eec442624014c63347084fb97459
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