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
- checkpoint-13000
- checkpoint-14000
- checkpoint-15000
- checkpoint-16000
- checkpoint-17000
- checkpoint-18000
- checkpoint-19000
- checkpoint-20000
- checkpoint-21000
- checkpoint-22000
- checkpoint-23000
- checkpoint-24000
- checkpoint-25000
- checkpoint-26000
- checkpoint-27000
- checkpoint-27705
- checkpoint-3000
- checkpoint-8000
- 1.52 kB
- 186 Bytes
- 699 Bytes
- 142 Bytes
- 62.3 MB xet
- 62.3 MB xet
- 2.54 kB
- 792 kB xet
- 2.42 MB
- 20.9 kB
- 6.03 kB xet