Instructions to use karths/binary_classification_train_comp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_comp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_comp")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_comp") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_comp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download metrics.json from karths/binary_classification_train_comp: direct link, hf CLI and curl.
- Browser
- Download file 169 Bytes
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https://huggingface.co/karths/binary_classification_train_comp/resolve/514c3fc22dcd02da05ab3d3536f7dae99f42a16e/metrics.json
- Command line
-
hf download hf://karths/binary_classification_train_comp@514c3fc22dcd02da05ab3d3536f7dae99f42a16e/metrics.json
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curl -L -o metrics.json https://huggingface.co/karths/binary_classification_train_comp/resolve/514c3fc22dcd02da05ab3d3536f7dae99f42a16e/metrics.json
169 Bytes
| {"precision": 0.9982870846180198, "recall": 0.9996569468267581, "acc": 0.9989816700610998, "mcc": 0.9979640637618323, "f1": 0.9989715461090161, "auc": 0.999933221594258} |