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_std.json from karths/binary_classification_train_TD: direct link, hf CLI and curl.
- Browser
- Download file 205 Bytes
-
https://huggingface.co/karths/binary_classification_train_TD/resolve/9cbfedb686fdfc6ed201403aa6579facfb8984e1/metrics_std.json
- Command line
-
hf download hf://karths/binary_classification_train_TD@9cbfedb686fdfc6ed201403aa6579facfb8984e1/metrics_std.json
-
curl -L -o metrics_std.json https://huggingface.co/karths/binary_classification_train_TD/resolve/9cbfedb686fdfc6ed201403aa6579facfb8984e1/metrics_std.json
205 Bytes
| { | |
| "precision": 0.05148569643269319, | |
| "recall": 0.04953426663021465, | |
| "f1": 0.050496182152111053, | |
| "auc": 0.018417047018577187, | |
| "acc": 0.041705442482717556, | |
| "mcc": 0.08602040921261711 | |
| } |