Instructions to use karths/binary_classification_train_automation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_automation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_automation")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_automation") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_automation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download metrics.json from karths/binary_classification_train_automation: direct link, hf CLI and curl.
- Browser
- Download file 168 Bytes
-
https://huggingface.co/karths/binary_classification_train_automation/resolve/main/metrics.json
- Command line
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hf download hf://karths/binary_classification_train_automation/metrics.json
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curl -L -o metrics.json https://huggingface.co/karths/binary_classification_train_automation/resolve/main/metrics.json
168 Bytes
| {"precision": 0.990791896869245, "recall": 0.9935364727608494, "acc": 0.9923354373309288, "mcc": 0.984667023919831, "f1": 0.9921622867680958, "auc": 0.9997050939428329} |