Instructions to use pankaj1881/question-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pankaj1881/question-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pankaj1881/question-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pankaj1881/question-classification") model = AutoModelForSequenceClassification.from_pretrained("pankaj1881/question-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5737c52e2c6af877ba93a6afd63a824aec9c8ab0a2bb74e8a7ef326d6ba007d9
- Size of remote file:
- 4.66 kB
- SHA256:
- 1053cff57130042dd22f0e67d32200374db4072e8f3ca92ae347d0caf14254b9
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