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:
- 315616c4532a5b99cccdca26d108034745066d684d69a892bf8ae2db12e5fc3b
- Size of remote file:
- 2.24 GB
- SHA256:
- 3d811afb0471e9a3a5f3ac233613a1aeb6fa5ff97e473f8e3c8dd61ea07d147d
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