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): c4920c5
training args added
Browse files- training_args.bin +3 -0
training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:1f5f4ca2aea327c33faaec736b26c473064a6812bef5f7117aa9b99b3d060e93
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size 3643
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