Instructions to use TisNam/emo_man with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TisNam/emo_man with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="TisNam/emo_man")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("TisNam/emo_man") model = AutoModelForAudioClassification.from_pretrained("TisNam/emo_man", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from TisNam/emo_man: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/TisNam/emo_man/resolve/main/training_args.bin
- Command line
-
hf download hf://TisNam/emo_man/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/TisNam/emo_man/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- a0c6ecb1178ba1ac28a8835fa83d13ff4dc6622b3eabce843d1db531bbb11a1c
- Size of remote file:
- 4.92 kB
- SHA256:
- 41cb559216b41f2587338f7716a0ed8da0b2b4749ebef8dbbd49010196833538
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