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_ci_bounds.json from karths/binary_classification_train_automation: direct link, hf CLI and curl.
- Browser
- Download file 602 Bytes
-
https://huggingface.co/karths/binary_classification_train_automation/resolve/main/metrics_ci_bounds.json
- Command line
-
hf download hf://karths/binary_classification_train_automation/metrics_ci_bounds.json
-
curl -L -o metrics_ci_bounds.json https://huggingface.co/karths/binary_classification_train_automation/resolve/main/metrics_ci_bounds.json
602 Bytes
| { | |
| "precision": { | |
| "ci_lower": 0.8625086887146439, | |
| "ci_upper": 1.0317925514161097 | |
| }, | |
| "recall": { | |
| "ci_lower": 0.8682919144768138, | |
| "ci_upper": 1.0378147277489473 | |
| }, | |
| "f1": { | |
| "ci_lower": 0.8654760310364984, | |
| "ci_upper": 1.0346928229283199 | |
| }, | |
| "auc": { | |
| "ci_lower": 0.9387366769233113, | |
| "ci_upper": 1.0237645134218232 | |
| }, | |
| "acc": { | |
| "ci_lower": 0.868204386103369, | |
| "ci_upper": 1.034049897034593 | |
| }, | |
| "mcc": { | |
| "ci_lower": 0.7363301038632419, | |
| "ci_upper": 1.0681596228385788 | |
| } | |
| } |