Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use M-Rizwan0099/cnn_news_summary_model_trained_on_reduced_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use M-Rizwan0099/cnn_news_summary_model_trained_on_reduced_data with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("M-Rizwan0099/cnn_news_summary_model_trained_on_reduced_data") model = AutoModelForSeq2SeqLM.from_pretrained("M-Rizwan0099/cnn_news_summary_model_trained_on_reduced_data") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53f34430bd6dfc96333fdcaee1b68ab0a84e9e8a3d870edf160840623f01f494
- Size of remote file:
- 5.56 kB
- SHA256:
- f4e59b475e142c0e7f40ced1cc3b73089e2053d1779d75c2321ee250f0cfca31
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