---
language:
- id
metrics:
- wer
base_model:
- facebook/mms-1b-all
pipeline_tag: automatic-speech-recognition
library_name: transformers
---
# [xTorch8/mms-id-asr](https://huggingface.co/xTorch8/fine-tuned-mms)

## Model Details

### Model Description

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- **Developed by:** Evan Santosa, Alexander Brian Susanto, Kelson, Henry Wunarsa
- **Model type:** Automatic Speech Recognition (ASR)
- **Language(s) (NLP):** Indonesian (id)
- **Finetuned from model:** [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all)

### Model Sources

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- **Repository:** [GitHub Repository](https://github.com/TranscriptX/AI-SR)

## Uses

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->

### Direct Use

<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->

The model is used for Automatic Speech Recognition (ASR) for Indonesian language.


### Out-of-Scope Use

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Even though the model is fine-tuned using the Indonesian language, the model still can perform well on languages that use alphabetic characters, such as English. However, the model will not work well for languages that not use alphabetic characters, such as Chineese, Arabic, Korean, etc, due to the fine-tuned process.