Instructions to use 4tt4/TransMod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 4tt4/TransMod with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="4tt4/TransMod")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("4tt4/TransMod") model = AutoModelForAudioClassification.from_pretrained("4tt4/TransMod", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c622517a10ab2a0ae38416260412ebc98665d1cf39dc95a16ac8f62fb20712f6
- Size of remote file:
- 1.26 GB
- SHA256:
- e944ce3a2d3cc9e25f976aba169991bd32249285bb9ea1c2af52f95226ece90d
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