Instructions to use daotc2/phobert-large-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daotc2/phobert-large-qa with Transformers:
# Load model directly from transformers import AutoTokenizer, MRCQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("daotc2/phobert-large-qa") model = MRCQuestionAnswering.from_pretrained("daotc2/phobert-large-qa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7931c02e3be52fc22e9f56185f30b6376d2fd76eb5cf03f654e0eebf52f0528b
- Size of remote file:
- 3.5 kB
- SHA256:
- bf67d002b058dd1efe31adffbd590fcd7f6e87a647042acf8ade1de8211d13f6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.