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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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{'eval_loss': 0.3053381145000458,
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'eval_runtime': 0.8092,
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'eval_samples_per_second': 160.649,
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---
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language:
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- tr
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pipeline_tag: token-classification
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---
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{'eval_loss': 0.3053381145000458,
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'eval_runtime': 0.8092,
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'eval_samples_per_second': 160.649,
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