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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b8f3acc45b4ce30e217dfa367406c496b649fcc15c8c91f05643a5d8c24ee6b
- Size of remote file:
- 1.78 kB
- SHA256:
- 316d21d936ae23b224e6fd12e257bcab9991fcb1d7efb28ebf237fe3ff4584e5
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