Instructions to use facebook/wav2vec2-large-xlsr-53-portuguese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wav2vec2-large-xlsr-53-portuguese 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-portuguese")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("facebook/wav2vec2-large-xlsr-53-portuguese") model = AutoModelForCTC.from_pretrained("facebook/wav2vec2-large-xlsr-53-portuguese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Patrick von Platen commited on
Commit ·
c3b1a99
1
Parent(s): 1657097
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 sha256:0e62e3aedf9a4146bee02310202a6d667f5730e169a72f74d6eb9f3cbb088f22
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size 1261962972
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