Instructions to use Manirathinam21/Multilingual_lang_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Manirathinam21/Multilingual_lang_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Manirathinam21/Multilingual_lang_detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Manirathinam21/Multilingual_lang_detection") model = AutoModelForSequenceClassification.from_pretrained("Manirathinam21/Multilingual_lang_detection") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 0260b28
readme updated
Browse files
README.md
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@@ -17,8 +17,8 @@ Pushto, Romanian, Russian, Swedish, Turkish, Estonian
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## Training result
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- 1
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- 2 0.000900
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## Training result
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Epoch Training_Loss Validation_Loss Accuracy F1
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- 1 0.003000 0.083116 0.986136 0.986332
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- 2 0.000900 0.069443 0.987273 0.987403
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- 3 0.087900 0.067496 0.988409 0.988507
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