Instructions to use reazon-research/japanese-wav2vec2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reazon-research/japanese-wav2vec2-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="reazon-research/japanese-wav2vec2-base")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("reazon-research/japanese-wav2vec2-base") model = AutoModel.from_pretrained("reazon-research/japanese-wav2vec2-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b01afc4770f8c0dad4401a0859416f94edd1fb819600d4f103065d639488ece
- Size of remote file:
- 378 MB
- SHA256:
- 4c85af0e8240f1fb6db513ce57416e5e9b122f4bc46547aca140855622c7e5a2
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