Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use EmanDev/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 EmanDev/cnn_news_summary_model_trained_on_reduced_data with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("EmanDev/cnn_news_summary_model_trained_on_reduced_data") model = AutoModelForSeq2SeqLM.from_pretrained("EmanDev/cnn_news_summary_model_trained_on_reduced_data") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8fc144f405aeafd69d069a2e3d45f33ba7e217c30592f474e931fbaec1a70b2
- Size of remote file:
- 5.37 kB
- SHA256:
- db57507a9a3f7b2e25eda55cdcbce0692588bbfb48af160db862099508c0bbf0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.