Instructions to use amankhandelia/flax_mms_alignment_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amankhandelia/flax_mms_alignment_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioFrameClassification processor = AutoProcessor.from_pretrained("amankhandelia/flax_mms_alignment_model", trust_remote_code=True) model = AutoModelForAudioFrameClassification.from_pretrained("amankhandelia/flax_mms_alignment_model", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from amankhandelia/flax_mms_alignment_model: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/amankhandelia/flax_mms_alignment_model/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://amankhandelia/flax_mms_alignment_model/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/amankhandelia/flax_mms_alignment_model/resolve/main/flax_model.msgpack
1.26 GB
- Xet hash:
- c1c1a055b5ca853f90400a0f7b648b829de15f2f233cfc6903efe28549cd639a
- Size of remote file:
- 1.26 GB
- SHA256:
- 1a9a569d76919565b0879dec40c3f545a00a03cd839820a248058dc021e862a6
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