Instructions to use moraxgiga/audio_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moraxgiga/audio_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="moraxgiga/audio_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("moraxgiga/audio_test") model = AutoModelForSpeechSeq2Seq.from_pretrained("moraxgiga/audio_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from moraxgiga/audio_test: direct link, hf CLI and curl.
- Browser
- Download file 290 MB
-
https://huggingface.co/moraxgiga/audio_test/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://moraxgiga/audio_test/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/moraxgiga/audio_test/resolve/main/flax_model.msgpack
290 MB
- Xet hash:
- 485fe76beb72fac0c3d47e51478d4d76b5e8cc9f9219747ea90b03d8587e09ba
- Size of remote file:
- 290 MB
- SHA256:
- e2dd00fb9f37f497421bdd7a8b17b5378f95e7543e6b50f79b936ccdd55b7815
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