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:
- 8bfcead1a28c722317abb91937f69e5e4ac0e0b30b2cea338d3db9dfed480479
- Size of remote file:
- 623 Bytes
- SHA256:
- dfca4853cadde6925279415384673c7b3156020ecd35532fba07cba6ee6bb127
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