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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b79f2ca5804d57207455ed6e3c2e65de13f7b6eb459a00c13ab5769b8cba530
- Size of remote file:
- 403 kB
- SHA256:
- d0bcae0d98f2ffc66903337c82e45e1b45ee7cbb6d1539a50094284ff2e80901
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