Automatic Speech Recognition
PEFT
Safetensors
Xiang Chinese
French
whisper
asr
songhoy
Mali
MALIBA-AI
lora
fine-tuned
code-switching
african-language
Eval Results (legacy)
Instructions to use MALIBA-AI/songhoy-asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MALIBA-AI/songhoy-asr with PEFT:
from peft import PeftModel from transformers import AutoModelForSpeechSeq2Seq base_model = AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-large-v2") model = PeftModel.from_pretrained(base_model, "MALIBA-AI/songhoy-asr") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from MALIBA-AI/songhoy-asr: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/MALIBA-AI/songhoy-asr/resolve/main/training_args.bin
- Command line
-
hf download hf://MALIBA-AI/songhoy-asr/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/MALIBA-AI/songhoy-asr/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 41b3d41e8f5421cedc5ce98c94190c29d24db5531e2e4a7c3c7704133b51c320
- Size of remote file:
- 5.5 kB
- SHA256:
- 2cb7182aa312fed66e5bcd89e49f7bedeb31ad8b2f9ca00ecef149db5cee4cd0
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