Instructions to use deprem-ml/adres_ner_v12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deprem-ml/adres_ner_v12 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="deprem-ml/adres_ner_v12")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("deprem-ml/adres_ner_v12") model = AutoModelForTokenClassification.from_pretrained("deprem-ml/adres_ner_v12") - Notebooks
- Google Colab
- Kaggle
{'eval_loss': 0.3053381145000458, 'eval_runtime': 0.8092, 'eval_samples_per_second': 160.649, 'eval_steps_per_second': 3.707, 'epoch': 3.0}
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