Instructions to use erythropygia/bert-turkish-entityrecognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use erythropygia/bert-turkish-entityrecognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="erythropygia/bert-turkish-entityrecognition")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("erythropygia/bert-turkish-entityrecognition") model = AutoModelForTokenClassification.from_pretrained("erythropygia/bert-turkish-entityrecognition", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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This model detects name-entity on <b>Turkish texts</b>. It tags the words Person, Location, Organization.
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FYI: You can replace the folder redirect with "erythropygia/bert-turkish-entityrecognition" in the appropriate fields.
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The model usage is as follows:
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```python
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This model detects name-entity on <b>Turkish texts</b>. It tags the words Person, Location, Organization.
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The model usage is as follows:
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```python
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