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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffcfe7e6cf7a7d4fa6b1dd024a7b13ccb86231b3f64bcdb461585aaf2253d0a1
- Size of remote file:
- 892 MB
- SHA256:
- 209d30346de4134ad7689492de6e91e7acc865fada7f42d9252130dc75ac0868
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