Instructions to use aekupor/model_utterance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aekupor/model_utterance with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aekupor/model_utterance")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aekupor/model_utterance") model = AutoModelForSequenceClassification.from_pretrained("aekupor/model_utterance", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| accuracy = 1.0 | |
| auprc = 1.0 | |
| auroc = 1.0 | |
| eval_loss = 5.9566273298529246e-05 | |
| f1 = 1.0 | |
| fn = 0 | |
| fp = 0 | |
| mcc = 1.0 | |
| precision = 1.0 | |
| recall = 1.0 | |
| tn = 2262 | |
| tp = 241 | |