Transformers
TensorBoard
Safetensors
Indonesian
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use LazarusNLP/IndoNanoT5-base-IndoSum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LazarusNLP/IndoNanoT5-base-IndoSum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("LazarusNLP/IndoNanoT5-base-IndoSum") model = AutoModelForSeq2SeqLM.from_pretrained("LazarusNLP/IndoNanoT5-base-IndoSum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5686e527d6a0ce998da8b540cb4aa297ceb1a649ceec11e979856b319e4c4d8b
- Size of remote file:
- 4.86 kB
- SHA256:
- 19d2dacb3a67ad1c14a21ab750518c9e10ef1440c6429bd584fe7d0f63340858
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