Transformers
TensorBoard
Safetensors
Indonesian
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use LazarusNLP/IndoNanoT5-base-TyDiQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LazarusNLP/IndoNanoT5-base-TyDiQA with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("LazarusNLP/IndoNanoT5-base-TyDiQA") model = AutoModelForSeq2SeqLM.from_pretrained("LazarusNLP/IndoNanoT5-base-TyDiQA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 976036c6bd0771f8f5ce8cfa0d472cba9441d141984193b56779804aefb9e91a
- Size of remote file:
- 4.92 kB
- SHA256:
- 2241364de9026d6206d42842ae6401dfb19d6f428abc9aa84663ab0da510e406
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