Instructions to use yk9/general_knowledge_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yk9/general_knowledge_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yk9/general_knowledge_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yk9/general_knowledge_classifier") model = AutoModelForSequenceClassification.from_pretrained("yk9/general_knowledge_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 309d15f0d9a2a01fd21d209f01d36d9338195b305f45e845e6f9ab294d0cb330
- Size of remote file:
- 268 MB
- SHA256:
- 8743504aff00739b2f506a7358f71efc7e5d6d0c0fc3832908b7d62cbaa93ed4
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