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theharshithh/
open-sarika

Name: open-sarika
Availability: InStock

transformers

safetensors

whisper

automatic-speech-recognition

ai4bharat/IndicVoices

openai/whisper-large-v3

finetune

mit

endpoints_compatible

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Open-Sarika

This is a speech recognition and translation model for Indian languages (Hindi, Gujarati, and Marathi). The model can transcribe speech in these languages and translate between them. This is an open-source implementation inspired by Sarvam AI's Sarika model.

Model Details

Model Description

Model type: Speech Recognition and Translation (based on Whisper architecture)
Language(s): Hindi (hi), Gujarati (gu), Marathi (mr)
License: MIT
Base Model: openai/whisper-large-v3

Uses

Direct Use

The model can be used for:

Transcribing speech in Hindi, Gujarati, and Marathi
Translating speech between these languages

Here's a simple example to get started:

python

from transformers import WhisperProcessor, WhisperForConditionalGeneration
import torch
import librosa

model_id = "theharshithh/open-sarika-v1"
device = "cuda" if torch.cuda.is_available() else "cpu"

# Load model and processor
processor = WhisperProcessor.from_pretrained(model_id)
model = WhisperForConditionalGeneration.from_pretrained(model_id).to(device)
model.config.forced_decoder_ids = None

# Load and process audio
audio_path = "your_audio.wav"
audio, rate = librosa.load(audio_path, sr=16000)

# Generate transcription
inputs = processor(audio, sampling_rate=16000, return_tensors="pt").to(device)
with torch.no_grad():
    output_ids = model.generate(**inputs)
transcription = processor.batch_decode(output_ids, skip_special_tokens=True)[0]

Training Data

The model was trained on a variety of datasets, including:

Project Vaani dataset: A large-scale Indian language collection project by the Indian Institute of Science (IISc) in collaboration with ARTPARK, funded by Google
High-quality speech recordings in Hindi, Gujarati, and Marathi from AI4Bharat
Real-world speech data from various sources

Hardware Requirements

Minimum RAM: 8GB
GPU: Recommended for faster inference
Storage: Model size is approximately 1.5GB

Model Card Contact

For issues and feedback, please create an issue on the model's repository: https://huggingface.co/theharshithh/open-sarika-v1

Github

Github Repo: https://github.com/theharshithh/open-sarika