Instructions to use karths/binary_classification_train_process with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_process with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_process")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_process") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_process", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download metrics.json from karths/binary_classification_train_process: direct link, hf CLI and curl.
- Browser
- Download file 170 Bytes
-
https://huggingface.co/karths/binary_classification_train_process/resolve/main/metrics.json
- Command line
-
hf download hf://karths/binary_classification_train_process/metrics.json
-
curl -L -o metrics.json https://huggingface.co/karths/binary_classification_train_process/resolve/main/metrics.json
170 Bytes
| {"precision": 0.9964561855670103, "recall": 0.9954940457032507, "acc": 0.9960292249047014, "mcc": 0.9920574545142239, "f1": 0.9959748832716149, "auc": 0.9998809574633111} |