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:
- 4092d180da3bfbe5f9f38f0d1bb7541cbf8799328d71c3248bcd9c9b6d3b3790
- Size of remote file:
- 125 MB
- SHA256:
- eb1f1f07854500dde3618183f1348675e68f408302272934c1dd4fe3b4e1f078
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