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
- Xet hash:
- 0e34da1dd738195be850e7bd3423be1fe6eb707d45753eec9332b4828adfbf85
- Size of remote file:
- 803 kB
- SHA256:
- 26de51154cccc9db6e65e5d466bdb0b1fff9fab1d80f4689711de943448addd6
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