Instructions to use pingkeest/OR_finetuned_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pingkeest/OR_finetuned_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pingkeest/OR_finetuned_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pingkeest/OR_finetuned_classification") model = AutoModelForSequenceClassification.from_pretrained("pingkeest/OR_finetuned_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbd2575eac9e4312f55b3327bf1046f5a55dfdca4655343f22bd68dddefdc2a2
- Size of remote file:
- 5.24 kB
- SHA256:
- 2affa603307caa7436a4f4980af7f5fe000dd88ee755d31a515b0384c4b1dcb1
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