Instructions to use mesolitica/finetune-qa-t5-small-standard-bahasa-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mesolitica/finetune-qa-t5-small-standard-bahasa-cased with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mesolitica/finetune-qa-t5-small-standard-bahasa-cased") model = AutoModelForSeq2SeqLM.from_pretrained("mesolitica/finetune-qa-t5-small-standard-bahasa-cased") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 60ac11f
Upload T5ForConditionalGeneration
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
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"_name_or_path": "finetune-t5-small-standard-bahasa-cased-qa/checkpoint-
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"architectures": [
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"T5ForConditionalGeneration"
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"_name_or_path": "finetune-t5-small-standard-bahasa-cased-qa/checkpoint-150000",
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"architectures": [
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pytorch_model.bin
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size 242011067
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