Instructions to use savasy/offLangDetectionTurkish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use savasy/offLangDetectionTurkish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="savasy/offLangDetectionTurkish")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("savasy/offLangDetectionTurkish") model = AutoModelForTokenClassification.from_pretrained("savasy/offLangDetectionTurkish") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bae05db5743ffe1f9115424b18cb006d0a09cc5e0d5d0bad2dddd214f73d8654
- Size of remote file:
- 440 MB
- SHA256:
- 0e546a7a50b2c725967f8bba1bda52e9ff8c8dd715115ac5604e2a3403feda78
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