Instructions to use nguyenvulebinh/heyarmar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nguyenvulebinh/heyarmar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="nguyenvulebinh/heyarmar")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("nguyenvulebinh/heyarmar") model = AutoModelForAudioClassification.from_pretrained("nguyenvulebinh/heyarmar") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bc77488c4076335dca98e36a570a05e7b0e34b5f1a25dcc8ecdd2d0f96f9f2fe
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size 378347332
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