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
File size: 201 Bytes
e5bd2e1 | 1 2 3 4 5 6 7 8 | {
"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
} |