Instructions to use Gorengoz/bert-based-Turkish-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gorengoz/bert-based-Turkish-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Gorengoz/bert-based-Turkish-NER")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Gorengoz/bert-based-Turkish-NER") model = AutoModelForTokenClassification.from_pretrained("Gorengoz/bert-based-Turkish-NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Gorengoz/bert-based-Turkish-NER: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/Gorengoz/bert-based-Turkish-NER/resolve/main/training_args.bin
- Command line
-
hf download hf://Gorengoz/bert-based-Turkish-NER/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Gorengoz/bert-based-Turkish-NER/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- eee10dd112bbd17783074d1671ff45772d324b01efc76e1c2e5d36e47c4da4f0
- Size of remote file:
- 3.58 kB
- SHA256:
- 00655455fdae87339415ed6d4403c82e559161418c71c1d049dd80afabe35445
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