Instructions to use karths/binary_classification_train_TD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_TD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_TD")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_TD") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_TD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download metrics_ci_bounds.json from karths/binary_classification_train_TD: direct link, hf CLI and curl.
- Browser
- Download file 603 Bytes
-
https://huggingface.co/karths/binary_classification_train_TD/resolve/main/metrics_ci_bounds.json
- Command line
-
hf download hf://karths/binary_classification_train_TD/metrics_ci_bounds.json
-
curl -L -o metrics_ci_bounds.json https://huggingface.co/karths/binary_classification_train_TD/resolve/main/metrics_ci_bounds.json
603 Bytes
| { | |
| "precision": { | |
| "ci_lower": 0.8982578181747759, | |
| "ci_upper": 1.0261136895406224 | |
| }, | |
| "recall": { | |
| "ci_lower": 0.898464468781247, | |
| "ci_upper": 1.0214742998855744 | |
| }, | |
| "f1": { | |
| "ci_lower": 0.8983752799390791, | |
| "ci_upper": 1.0237738627891109 | |
| }, | |
| "auc": { | |
| "ci_lower": 0.9668313223329391, | |
| "ci_upper": 1.0125668908053258 | |
| }, | |
| "acc": { | |
| "ci_lower": 0.9160906167435001, | |
| "ci_upper": 1.0196589096633968 | |
| }, | |
| "mcc": { | |
| "ci_lower": 0.8269227697248197, | |
| "ci_upper": 1.0405396601849441 | |
| } | |
| } |