Instructions to use bosonai/higgs-audio-v2-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bosonai/higgs-audio-v2-tokenizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bosonai/higgs-audio-v2-tokenizer")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModel extractor = AutoFeatureExtractor.from_pretrained("bosonai/higgs-audio-v2-tokenizer") model = AutoModel.from_pretrained("bosonai/higgs-audio-v2-tokenizer", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download higgs_audio_tokenizer_architecture.png from bosonai/higgs-audio-v2-tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 117 kB
-
https://huggingface.co/bosonai/higgs-audio-v2-tokenizer/resolve/main/higgs_audio_tokenizer_architecture.png
- Command line
-
hf download hf://bosonai/higgs-audio-v2-tokenizer/higgs_audio_tokenizer_architecture.png
-
curl -L -o higgs_audio_tokenizer_architecture.png https://huggingface.co/bosonai/higgs-audio-v2-tokenizer/resolve/main/higgs_audio_tokenizer_architecture.png
117 kB

- Xet hash:
- d8a368f294d1862bfabf29c837167cbb79bf7980cc38abbb291c043d3b478b08
- Size of remote file:
- 117 kB
- SHA256:
- f7c0177e38dd9c873acf8ac55c159ce65ba50970cbeba9663582da4698037447
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