Instructions to use nhanv/cv_parser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nhanv/cv_parser with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nhanv/cv_parser")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("nhanv/cv_parser") model = AutoModelForTokenClassification.from_pretrained("nhanv/cv_parser") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.985104873847401, | |
| "eval_f1": 0.911088911088911, | |
| "eval_loss": 0.09563781321048737, | |
| "eval_precision": 0.890625, | |
| "eval_recall": 0.9325153374233128, | |
| "eval_runtime": 1.2647, | |
| "eval_samples": 161, | |
| "eval_samples_per_second": 127.3, | |
| "eval_steps_per_second": 32.418 | |
| } |