Instructions to use PrachiPatel/AudioEmoDetect_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrachiPatel/AudioEmoDetect_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="PrachiPatel/AudioEmoDetect_v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("PrachiPatel/AudioEmoDetect_v1") model = AutoModelForAudioClassification.from_pretrained("PrachiPatel/AudioEmoDetect_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from PrachiPatel/AudioEmoDetect_v1: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/PrachiPatel/AudioEmoDetect_v1/resolve/main/training_args.bin
- Command line
-
hf download hf://PrachiPatel/AudioEmoDetect_v1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/PrachiPatel/AudioEmoDetect_v1/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 631ad32111e20357faa322b170bbf7f36cc51375984b261647a5d0a0bc8a8bc9
- Size of remote file:
- 3.58 kB
- SHA256:
- 12097ec646f4c1b619878dc4e4300a512abb54e523127fa593d64dadb80abc5d
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