Instructions to use huaen/question_detection_user_utter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huaen/question_detection_user_utter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="huaen/question_detection_user_utter")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("huaen/question_detection_user_utter") model = AutoModelForSequenceClassification.from_pretrained("huaen/question_detection_user_utter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ebc40bbd4b58e0a7b520660baa3c93f37b1ae912af57a10333bedf7589052e81
- Size of remote file:
- 433 MB
- SHA256:
- 8412927f6b3f31b4039423c5fea23328ab277abb024282e5a96de050e71512a8
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