Instructions to use jiiyy/classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jiiyy/classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jiiyy/classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jiiyy/classifier") model = AutoModelForSequenceClassification.from_pretrained("jiiyy/classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a172a01dfca433ef1da49e5a743a01eb8272a497c53ea2d56a1ac57bfe67140
- Size of remote file:
- 473 MB
- SHA256:
- 6f4c1ad5002e62465814180a76a4846e9064229ed3209745c11a2bf83791cc8f
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