Instructions to use khaled44/bea-2way-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khaled44/bea-2way-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="khaled44/bea-2way-full")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("khaled44/bea-2way-full") model = AutoModelForSequenceClassification.from_pretrained("khaled44/bea-2way-full") - Notebooks
- Google Colab
- Kaggle
| { | |
| "eval_loss": 0.4845934212207794, | |
| "eval_n_samples": 827.0, | |
| "eval_accuracy": 0.845223700120919, | |
| "eval_precision_macro": 0.813394896651624, | |
| "eval_recall_macro": 0.8163470460872255, | |
| "eval_f1_macro": 0.8148412465191778, | |
| "eval_qwk": 0.629692856643112, | |
| "eval_runtime": 2.4847, | |
| "eval_samples_per_second": 332.836, | |
| "eval_steps_per_second": 20.928, | |
| "epoch": 3.0 | |
| } |