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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download Screenshot_20251104_204645.png from shorecode/t5-efficient-tiny-summarizer-general-purpose-v3: direct link, hf CLI and curl.
- Browser
- Download file 34.1 kB
-
https://huggingface.co/shorecode/t5-efficient-tiny-summarizer-general-purpose-v3/resolve/main/Screenshot_20251104_204645.png
- Command line
-
hf download hf://shorecode/t5-efficient-tiny-summarizer-general-purpose-v3/Screenshot_20251104_204645.png
-
curl -L -o Screenshot_20251104_204645.png https://huggingface.co/shorecode/t5-efficient-tiny-summarizer-general-purpose-v3/resolve/main/Screenshot_20251104_204645.png
34.1 kB
