Transformers
Safetensors
Yoruba
qwen2_audio
text2text-generation
audio
asr
speech-recognition
yoruba
low-resource
lora
qwen2-audio
Instructions to use Simih/yoruba_asr_audio_llm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Simih/yoruba_asr_audio_llm with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Simih/yoruba_asr_audio_llm") model = AutoModelForMultimodalLM.from_pretrained("Simih/yoruba_asr_audio_llm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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### Model Description
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- **Developed by:**
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- **Model type:** Audio-language multimodal Transformer (Qwen2-Audio)
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- **Language(s):** Yoruba (yo)
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- **License:** Apache 2.0
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### Model Description
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- **Developed by:** Similoluwa Ola-obaado
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- **Model type:** Audio-language multimodal Transformer (Qwen2-Audio)
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- **Language(s):** Yoruba (yo)
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- **License:** Apache 2.0
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