Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Navanjana/Sinhala-Sumarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Navanjana/Sinhala-Sumarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Navanjana/Sinhala-Sumarization") model = AutoModelForSeq2SeqLM.from_pretrained("Navanjana/Sinhala-Sumarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bc8a56eb4d4511e374527beb1a687ce8072e999ce7304b26bf8f2931f81ad64
- Size of remote file:
- 4.73 kB
- SHA256:
- 99f2d522c6bf4f28f2811ad70eb0cd7c26f8b93bf0b75afb4d1be28f460189be
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