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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c2e5e260f58771e0b0aac230ca4ab5bc7315cbf39d8f96e21aad2d0b820c682
- Size of remote file:
- 128 MB
- SHA256:
- cbe81a7a8408dbb9d8257f623f727730c3a9df0881423ab589f097623a8a44b4
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