Automatic Speech Recognition
Transformers
Safetensors
seamless_m4t_v2
audio
speech
african-languages
multilingual
simba
low-resource
speech-recognition
asr
Instructions to use ghananlpcommunity/Simba-S with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghananlpcommunity/Simba-S with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ghananlpcommunity/Simba-S")# Load model directly from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq tokenizer = AutoTokenizer.from_pretrained("ghananlpcommunity/Simba-S") model = AutoModelForSpeechSeq2Seq.from_pretrained("ghananlpcommunity/Simba-S") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69a66c282e58d06ffaf6e09067cc32378b00f10d0d4881306c93f61578572f62
- Size of remote file:
- 31.2 MB
- SHA256:
- bb08273b3ab8f38ebcb33558f96257ef97beeb0441f8a28eb886ae71d9f3e1fa
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