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msislam
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code-mixed-language-detection-XLMRoberta

Token Classification
Transformers
PyTorch
Safetensors
xlm-roberta
Inference Endpoints
Model card Files Community
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@@ -28,7 +28,7 @@ The training dataset is based on [The Multilingual Amazon Reviews Corpus](https:
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  ## Results
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  ```python
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- {'DE': {'precision': 0.9870741390453328,
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  'recall': 0.9883516686696866,
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  'f1': 0.9877124907612713}
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  'EN': {'precision': 0.9901617633147289,
@@ -44,11 +44,13 @@ The training dataset is based on [The Multilingual Amazon Reviews Corpus](https:
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  'overall_precision': 0.9888723454274744
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  'overall_recall': 0.9895702634880803
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  'overall_f1': 0.9892211813585232
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- 'overall_accuracy': 0.9993651810717168}
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  ```
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  ## Usage
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  ```python
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  from transformers import AutoTokenizer, AutoModelForTokenClassification
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  ## Results
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  ```python
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+ 'DE': {'precision': 0.9870741390453328,
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  'recall': 0.9883516686696866,
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  'f1': 0.9877124907612713}
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  'EN': {'precision': 0.9901617633147289,
 
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  'overall_precision': 0.9888723454274744
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  'overall_recall': 0.9895702634880803
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  'overall_f1': 0.9892211813585232
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+ 'overall_accuracy': 0.9993651810717168
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  ```
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  ## Usage
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+ The model can be used as follows:
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+
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  ```python
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  from transformers import AutoTokenizer, AutoModelForTokenClassification
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