Instructions to use abhishek2244/vehicle-biometric-ner-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhishek2244/vehicle-biometric-ner-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="abhishek2244/vehicle-biometric-ner-model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("abhishek2244/vehicle-biometric-ner-model") model = AutoModelForTokenClassification.from_pretrained("abhishek2244/vehicle-biometric-ner-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "total_flos": 49929879263040.0, | |
| "train_loss": 0.7351746845245362, | |
| "train_runtime": 38.5695, | |
| "train_samples_per_second": 62.225, | |
| "train_steps_per_second": 3.889 | |
| } |