Instructions to use I77/question_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use I77/question_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="I77/question_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("I77/question_classifier") model = AutoModelForSequenceClassification.from_pretrained("I77/question_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40b0019a34aaefb16ecb66052c9144a4b965f96e820b4e3e0b8f07dfbdbd66f2
- Size of remote file:
- 711 MB
- SHA256:
- 1e5ff6030b58625c6a914260a5e017d655d31a8f094b2d3fa620bbb8fb7bb758
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