Instructions to use StanBienaives/question_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StanBienaives/question_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="StanBienaives/question_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("StanBienaives/question_classification") model = AutoModelForSequenceClassification.from_pretrained("StanBienaives/question_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a14d09f4d1f7854a311ab6733334d3cddd677dbeaa1227754311831c8daa72cc
- Size of remote file:
- 4.22 kB
- SHA256:
- 36599dbac5bd577a778bdea6b66e56af6b02b6d345a85338eff032a3c673454e
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