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:
- 88fb6700ce0d8d55866b73b3c20b97fabbbd88f329d1a9cb018ea9ed5c5fa955
- Size of remote file:
- 62.3 MB
- SHA256:
- 2f70e1c273cd47d991d6db6a8cb163e208ebd714c6c2a1d8d428a78e9c6614f7
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