Instructions to use PrimeQA/tydiqa-boolean-answer-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrimeQA/tydiqa-boolean-answer-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PrimeQA/tydiqa-boolean-answer-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PrimeQA/tydiqa-boolean-answer-classifier") model = AutoModelForSequenceClassification.from_pretrained("PrimeQA/tydiqa-boolean-answer-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e3f30518ab47c77cf9a1150ce6ee2c25034cfa17e360830fd2a0256560e9eb3
- Size of remote file:
- 17.1 MB
- SHA256:
- 99b72d7cf84e1d18a69be4f213445e0117d9c66cefa56c7030ad7dca48b02728
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