Instructions to use ksgr5566/mod-trial-classification-latest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ksgr5566/mod-trial-classification-latest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ksgr5566/mod-trial-classification-latest")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ksgr5566/mod-trial-classification-latest") model = AutoModelForSequenceClassification.from_pretrained("ksgr5566/mod-trial-classification-latest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload metrics.json with huggingface_hub
Browse files- metrics.json +1 -0
metrics.json
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{"test_loss": 0.9175760746002197, "test_accuracy": 0.8414634146341463, "test_f1": 0.8410159924741298, "test_precision": 0.8433962264150944, "test_recall": 0.8386491557223265, "test_runtime": 32.4139, "test_samples_per_second": 32.887, "test_steps_per_second": 32.887}
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