NMT_multilingual_12

Model Card for Model ID

This model is a translation model which translate the Indian language to english and english to Indian languages.

Model Details

brfore translation it has some steps of preprocessing : step 1: Formatting the input text and make it empty line seprated text. step 2: subwwording and tokenization using sentencepiece model(encoding stage) step 3: translation stage step 4: desubwording the translated text.( Decoding stage)

Model Description

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• Developed by: Verbalyze employee Vikrant
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Uses

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Direct Use

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

Use model_translate.py for translation.

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

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Training Details

Training Data

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Training Procedure

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Preprocessing [optional]

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Training Hyperparameters

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Evaluation

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Testing Data, Factors & Metrics

Testing Data

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Factors

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Results

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Summary

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Environmental Impact

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Citation [optional]

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