Instructions to use LeBenchmark/wav2vec2-FR-3K-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LeBenchmark/wav2vec2-FR-3K-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="LeBenchmark/wav2vec2-FR-3K-large")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("LeBenchmark/wav2vec2-FR-3K-large") model = AutoModel.from_pretrained("LeBenchmark/wav2vec2-FR-3K-large") - Notebooks
- Google Colab
- Kaggle
Patrick von Platen commited on
Commit ·
cbbac68
1
Parent(s): 4f7e603
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:b373b452fe40d0712e3446c236860f4792b9a8b2c02f3dc50fb2224c8c885d9d
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size 1264724202
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