Instructions to use Manishl7/xlm-roberta-large-language-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Manishl7/xlm-roberta-large-language-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Manishl7/xlm-roberta-large-language-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Manishl7/xlm-roberta-large-language-detection") model = AutoModelForSequenceClassification.from_pretrained("Manishl7/xlm-roberta-large-language-detection") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Language Detection Model for Nepali, English, Hindi and Spanish Model fine tuned on xlm-roberta-large
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