Instructions to use msislam/code-mixed-language-detection-XLMRoberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use msislam/code-mixed-language-detection-XLMRoberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="msislam/code-mixed-language-detection-XLMRoberta")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("msislam/code-mixed-language-detection-XLMRoberta") model = AutoModelForTokenClassification.from_pretrained("msislam/code-mixed-language-detection-XLMRoberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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'overall_accuracy': 0.9993651810717168
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## Usage
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The model can be used as follows:
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'overall_accuracy': 0.9993651810717168
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## Codes
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The codes associated with the model can be found in this [GitHUb Repo.](https://github.com/msishuvo/Language-Identification-in-Code-Mixed-Text-using-Large-Language-Model.git)
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## Usage
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The model can be used as follows:
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