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:
- cd711dc0ae840116c817d4c00206ff9479070008041ed4a4096771a5fc236f93
- Size of remote file:
- 242 MB
- SHA256:
- 55db723116bf3f4d706cfab87174fc118f5adda46cd3f870034be935469439fd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.