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)
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
Gated model You can list files but not access them
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