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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("savasy/offLangDetectionTurkish") model = AutoModelForTokenClassification.from_pretrained("savasy/offLangDetectionTurkish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from savasy/offLangDetectionTurkish: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/savasy/offLangDetectionTurkish/resolve/main/model.safetensors
- Command line
-
hf download hf://savasy/offLangDetectionTurkish/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/savasy/offLangDetectionTurkish/resolve/main/model.safetensors
440 MB
- Xet hash:
- ec9af461e32dc22a0fe6cd3eacd2e28fc1815f99d0a0450ae6bf75d1140e6131
- Size of remote file:
- 440 MB
- SHA256:
- 599e3d2bd53007909f63c60b2dd6139e690645a555e4fac570286777a6831950
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