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MALIBA-AI
/
bambara-asr-v3

Automatic Speech Recognition
PEFT
Safetensors
Transformers
Bambara
French
English
whisper
speech-to-text
asr
low-resource
bambara
african-languages
open-source
mali
maliba-ai
lora
fine-tuned
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use MALIBA-AI/bambara-asr-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use MALIBA-AI/bambara-asr-v3 with PEFT:

    Task type is invalid.
  • Transformers

    How to use MALIBA-AI/bambara-asr-v3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="MALIBA-AI/bambara-asr-v3")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("MALIBA-AI/bambara-asr-v3")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("MALIBA-AI/bambara-asr-v3")
  • Notebooks
  • Google Colab
  • Kaggle

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  • added_tokens.json
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  • config.json
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  • generation_config.json
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  • merges.txt
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  • normalizer.json
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  • preprocessor_config.json
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  • special_tokens_map.json
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  • tokenizer_config.json
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  • v1_vs_v3_comparison.png
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  • vocab.json
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