Instructions to use huaen/question_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huaen/question_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="huaen/question_detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("huaen/question_detection") model = AutoModelForSequenceClassification.from_pretrained("huaen/question_detection") - Notebooks
- Google Colab
- Kaggle
model
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8897deb21f1a1df6052c99691d744cf9ec669c0f1c05335a38e85695c10017a4
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size 433331373
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