Transformers
PyTorch
TensorFlow
ONNX
Safetensors
English
t5
text2text-generation
summary
summarizer
Eval Results (legacy)
text-generation-inference
Instructions to use shorecode/t5-efficient-tiny-summarizer-general-purpose-v2 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-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("shorecode/t5-efficient-tiny-summarizer-general-purpose-v2") model = AutoModelForSeq2SeqLM.from_pretrained("shorecode/t5-efficient-tiny-summarizer-general-purpose-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0facc27bcb92a7e2f08892933aa8034b9f0bde20974f0f737f3422beae0d7c0
- Size of remote file:
- 45.6 MB
- SHA256:
- e4b2af5a241f7e31ee22075f1b089f9e055125e5502764b3d6624db79cb09fef
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