Instructions to use ImranzamanML/GEFS-language-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ImranzamanML/GEFS-language-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ImranzamanML/GEFS-language-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ImranzamanML/GEFS-language-detector") model = AutoModelForSequenceClassification.from_pretrained("ImranzamanML/GEFS-language-detector") - Notebooks
- Google Colab
- Kaggle
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README.md
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**Name**: Muhammad Imran Zaman
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**Company**: [Theum AG](https://theum.com/en/index.htm?t=)
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**Role**: Machine Learning Engineer
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**Professional Links**:
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- Kaggle: [Profile](https://www.kaggle.com/muhammadimran112233)
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**Name**: Muhammad Imran Zaman
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**Company**: [Theum AG](https://theum.com/en/index.htm?t=)
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**Role**: Lead Machine Learning Engineer
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**Professional Links**:
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- Kaggle: [Profile](https://www.kaggle.com/muhammadimran112233)
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