Transformers
PyTorch
ONNX
Safetensors
English
t5
text2text-generation
summary
summarizer
Eval Results (legacy)
text-generation-inference
Instructions to use shorecode/t5-efficient-tiny-summarizer-general-purpose-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shorecode/t5-efficient-tiny-summarizer-general-purpose-v3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("shorecode/t5-efficient-tiny-summarizer-general-purpose-v3") model = AutoModelForSeq2SeqLM.from_pretrained("shorecode/t5-efficient-tiny-summarizer-general-purpose-v3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fabaae93edf1ab1af1b23bd1d5aeab1840fbb4733f4422dfd7f9ae24e631b89e
- Size of remote file:
- 62.3 MB
- SHA256:
- 3fda1dab690e97fd2b1bf230f9303bcf550968e843a23333a76170b9b173f322
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