Instructions to use MathRaaj/ser-optimized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MathRaaj/ser-optimized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="MathRaaj/ser-optimized")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("MathRaaj/ser-optimized") model = AutoModelForAudioClassification.from_pretrained("MathRaaj/ser-optimized", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from MathRaaj/ser-optimized: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/MathRaaj/ser-optimized/resolve/main/model.safetensors
- Command line
-
hf download hf://MathRaaj/ser-optimized/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/MathRaaj/ser-optimized/resolve/main/model.safetensors
378 MB
- Xet hash:
- 8f035b240cea4c61c817e899146750f3513f15a90a6f72814e43f63f9650917b
- Size of remote file:
- 378 MB
- SHA256:
- d4ad172e8a17b89add570e34fdab733d5017afa4dd495816eb1d13420da6c5e4
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