Instructions to use facebook/wav2vec2-large-xlsr-53-polish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wav2vec2-large-xlsr-53-polish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-large-xlsr-53-polish")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("facebook/wav2vec2-large-xlsr-53-polish") model = AutoModelForCTC.from_pretrained("facebook/wav2vec2-large-xlsr-53-polish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Patrick von Platen commited on
Commit ·
5a552ea
1
Parent(s): 796156b
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:baace9eee6eb030bf640f912c7f95f986c2304349b126a499788a3584f9f062f
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size 1261942472
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