Automatic Speech Recognition
Transformers
Safetensors
Malagasy
wav2vec2-bert
speech
malagasy
madagascar
w2v-bert-2.0
ctc
low-resource
african-languages
Eval Results (legacy)
Instructions to use Flo976/w2v-bert-malagasy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Flo976/w2v-bert-malagasy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Flo976/w2v-bert-malagasy")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Flo976/w2v-bert-malagasy") model = AutoModelForCTC.from_pretrained("Flo976/w2v-bert-malagasy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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