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:
- 6e8ee4dfaa5f6cb771df7462e19bef4ed5d32b491bc835eb6389e8f65f88c5d1
- Size of remote file:
- 4.09 kB
- SHA256:
- 45be415cbae16d84eaeb12819a40667dba9a1043d27ff4d40af64fc8e7a3146f
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