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:
- af635007d254210045347130c518d862ae6ffe168c48475b9e59ba6c5e23f67d
- Size of remote file:
- 5.05 kB
- SHA256:
- 24b6fd97c2a2741ef9ab4ff579d6de73b528a451711cc964098ecd6b8ede5e9d
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