Instructions to use Farnazgh/distilbert_squad_answerable_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Farnazgh/distilbert_squad_answerable_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Farnazgh/distilbert_squad_answerable_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Farnazgh/distilbert_squad_answerable_classifier") model = AutoModelForSequenceClassification.from_pretrained("Farnazgh/distilbert_squad_answerable_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba940e9de6113c8d4d72127a703ab1d25cf418f7bc5dc298c9b6b1480234fd95
- Size of remote file:
- 268 MB
- SHA256:
- 6418c9e754d41ac86c28747dbd204f30787cc2df62c44050f04a03b635e2ee6d
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