Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Sif10/summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sif10/summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sif10/summarization") model = AutoModelForSeq2SeqLM.from_pretrained("Sif10/summarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0bdb9fa181e22db0f93b703e5cdf08866980e161eedd3759366fa37f2375c473
- Size of remote file:
- 5.05 kB
- SHA256:
- 759fc6c388408e9d77571afbd59d732330a602a39d359f7e45548b2d719491b5
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