Instructions to use karths/binary_classification_train_architecture with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_architecture with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_architecture")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_architecture") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_architecture", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download metrics_all_fold.json from karths/binary_classification_train_architecture: direct link, hf CLI and curl.
- Browser
- Download file 960 Bytes
-
https://huggingface.co/karths/binary_classification_train_architecture/resolve/main/metrics_all_fold.json
- Command line
-
hf download hf://karths/binary_classification_train_architecture/metrics_all_fold.json
-
curl -L -o metrics_all_fold.json https://huggingface.co/karths/binary_classification_train_architecture/resolve/main/metrics_all_fold.json
960 Bytes
| { | |
| "precision": [ | |
| 0.8185985592665357, | |
| 0.9459962756052142, | |
| 0.9862585883822611, | |
| 0.9912225705329154, | |
| 0.9943502824858758 | |
| ], | |
| "recall": [ | |
| 0.7841907151819323, | |
| 0.9566854990583804, | |
| 0.9912115505335845, | |
| 0.992467043314501, | |
| 0.9943502824858758 | |
| ], | |
| "f1": [ | |
| 0.8010253123998718, | |
| 0.951310861423221, | |
| 0.9887288666249218, | |
| 0.9918444165621079, | |
| 0.9943502824858758 | |
| ], | |
| "auc": [ | |
| 0.9007949592455319, | |
| 0.9885553535222344, | |
| 0.999065595890065, | |
| 0.9998024763512783, | |
| 0.999885273935537 | |
| ], | |
| "acc": [ | |
| 0.8136813681368137, | |
| 0.9531953195319532, | |
| 0.9891989198919892, | |
| 0.9921992199219922, | |
| 0.9945994599459946 | |
| ], | |
| "mcc": [ | |
| 0.6265110018485912, | |
| 0.9063059646905545, | |
| 0.9783716402634621, | |
| 0.9843695731126325, | |
| 0.9891778686927722 | |
| ] | |
| } |