Instructions to use karths/binary_classification_train_defect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_defect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_defect")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_defect") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_defect", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download precision_recall_curve.png from karths/binary_classification_train_defect: direct link, hf CLI and curl.
- Browser
- Download file 14.4 kB
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https://huggingface.co/karths/binary_classification_train_defect/resolve/main/precision_recall_curve.png
- Command line
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hf download hf://karths/binary_classification_train_defect/precision_recall_curve.png
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curl -L -o precision_recall_curve.png https://huggingface.co/karths/binary_classification_train_defect/resolve/main/precision_recall_curve.png
14.4 kB
