Instructions to use Teera/thai-xlm-roberta-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Teera/thai-xlm-roberta-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Teera/thai-xlm-roberta-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Teera/thai-xlm-roberta-squad") model = AutoModelForQuestionAnswering.from_pretrained("Teera/thai-xlm-roberta-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a45dea21457dff9170d413c7e9a94de827f791287850bf4cc65e85f59139c328
- Size of remote file:
- 1.11 GB
- SHA256:
- d1454a1994a6912d9ccd8a11797062bb3585c02e35bd474a6148f82a9a91c614
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