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
Update eval_results.txt
Browse files- eval_results.txt +7 -0
eval_results.txt
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eval_loss = 0.4084179524580638
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eval_accuracy_score = 0.9301014656144306
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eval_precision = 0.5757575757575758
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eval_recall = 0.13286713286713286
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eval_f1 = 0.21590909090909094
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epoch = 3.0
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total_flos = 88727433177600
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