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:
- 965cd9d90e4a3246b25326b6625db6273a57bc1c5de20099c0590fa473a78195
- Size of remote file:
- 242 MB
- SHA256:
- c99eabb84410cc72cf512fd8bab2e241f81ac4a3224b45bef3e5dc195cc0398a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.