Instructions to use elgeish/wav2vec2-large-xlsr-53-levantine-arabic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use elgeish/wav2vec2-large-xlsr-53-levantine-arabic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="elgeish/wav2vec2-large-xlsr-53-levantine-arabic")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("elgeish/wav2vec2-large-xlsr-53-levantine-arabic") model = AutoModelForCTC.from_pretrained("elgeish/wav2vec2-large-xlsr-53-levantine-arabic") - Notebooks
- Google Colab
- Kaggle
Patrick von Platen commited on
Commit ·
0f01c7e
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Parent(s): d3fe0e6
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:670c925f7ff79306cfa38b85b3759046c62101fb375b5f23a95078ead7c88a5f
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size 1261999872
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