Token Classification
Transformers
Safetensors
Turkish
bert
medical
ner
turkish
healthcare
clinical
Eval Results (legacy)
Instructions to use tugrulkaya/medner-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tugrulkaya/medner-tr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tugrulkaya/medner-tr")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tugrulkaya/medner-tr") model = AutoModelForTokenClassification.from_pretrained("tugrulkaya/medner-tr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from tugrulkaya/medner-tr: direct link, hf CLI and curl.
- Browser
- Download file 755 kB
-
https://huggingface.co/tugrulkaya/medner-tr/resolve/main/tokenizer.json
- Command line
-
hf download hf://tugrulkaya/medner-tr/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/tugrulkaya/medner-tr/resolve/main/tokenizer.json
755 kB
File too large to display, you can check the raw version instead.