Instructions to use nhanv/VBHC-classify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nhanv/VBHC-classify with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nhanv/VBHC-classify")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nhanv/VBHC-classify") model = AutoModelForSequenceClassification.from_pretrained("nhanv/VBHC-classify") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.9971590909090909, | |
| "eval_loss": 0.012539840303361416, | |
| "eval_runtime": 6.4144, | |
| "eval_samples": 704, | |
| "eval_samples_per_second": 109.753, | |
| "eval_steps_per_second": 13.719 | |
| } |