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README.md
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- **Developed by:** Aakash Kumar, Debajyoti Mazumder, Jasabanta Patro
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- **Model type:** Text Classification
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- **Language(s)
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- **Parent Model:** See the [BERT multilingual base model (cased)](https://huggingface.co/google-bert/bert-base-multilingual-cased) for more information about the model.
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#### Metrics
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- **Developed by:** Aakash Kumar, Debajyoti Mazumder, Jasabanta Patro
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- **Model type:** Text Classification
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- **Language(s) :** Hindi-English code-mixed
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- **Parent Model:** See the [BERT multilingual base model (cased)](https://huggingface.co/google-bert/bert-base-multilingual-cased) for more information about the model.
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## How to Get Started with the Model
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**Details of usage**
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Please use the **Model_Rational_Label** class inside [models.py](models.py) to load the models. The default prediction in this hosted inference API may be wrong due to the use of different class initialisations.
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```python
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import torch
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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tokenizer = AutoTokenizer.from_pretrained("debajyotimaz/codemix_hate")
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model = AutoModelForSequenceClassification.from_pretrained("debajyotimaz/codemix_hate")
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inputs = tokenizer("Mai tumse hate karta hun", return_tensors="pt")
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prediction= model(input_ids=inputs['input_ids'],attention_mask=inputs['attention_mask'])
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print(prediction.logits)
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```
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#### Metrics
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