Instructions to use auriankelen/matpac_audioset_finetune_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use auriankelen/matpac_audioset_finetune_encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="auriankelen/matpac_audioset_finetune_encoder", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("auriankelen/matpac_audioset_finetune_encoder", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from auriankelen/matpac_audioset_finetune_encoder: direct link, hf CLI and curl.
- Browser
- Download file 342 MB
-
https://huggingface.co/auriankelen/matpac_audioset_finetune_encoder/resolve/main/model.safetensors
- Command line
-
hf download hf://auriankelen/matpac_audioset_finetune_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/auriankelen/matpac_audioset_finetune_encoder/resolve/main/model.safetensors
342 MB
- Xet hash:
- 45498cb17a644e9b9835480d76f550d05f08de890a2453b303d292efbd99ffee
- Size of remote file:
- 342 MB
- SHA256:
- 1add56f72a1ca3eb14a084eeda2c328fc12f72f7047235b859f35e5686d5572b
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