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:
- b691ae9a1d1242e69419d4218f87ac94a1351a00210a740b09a260c5652abf2d
- Size of remote file:
- 1.47 kB
- SHA256:
- 08fb5338c246b949fd98ce5d290ba9ea594673279f0b73fc08d8b595f50b7955
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