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:
- 2e3217c13caa4388ccd7f711b7813440ad959c60bf1268dd307d9c725db734c2
- Size of remote file:
- 45.6 MB
- SHA256:
- 0b1744c0aaf84536f76fdfc04171a4b9d4cedca274e691e2db651b656ce84971
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