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")# 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
File size: 601 Bytes
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"precision": {
"ci_lower": 0.879964948964814,
"ci_upper": 1.035922567733632
},
"recall": {
"ci_lower": 0.9011847484720348,
"ci_upper": 1.0322801591647803
},
"f1": {
"ci_lower": 0.8904332620940503,
"ci_upper": 1.0341509642997417
},
"auc": {
"ci_lower": 0.9516280838265948,
"ci_upper": 1.0198782196648344
},
"acc": {
"ci_lower": 0.8899554874350446,
"ci_upper": 1.0344960434813693
},
"mcc": {
"ci_lower": 0.7802150047216826,
"ci_upper": 1.068868083720719
}
} |