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
Update tokenizer_config.json
Browse files- tokenizer_config.json +1 -0
tokenizer_config.json
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{"do_lower_case": true, "max_len": 512, "special_tokens_map_file": null, "full_tokenizer_file": null}
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