Instructions to use ameerazam08/wav2vec2-xlsr-ravdess-speech-emotion-recognition-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ameerazam08/wav2vec2-xlsr-ravdess-speech-emotion-recognition-final with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification processor = AutoProcessor.from_pretrained("ameerazam08/wav2vec2-xlsr-ravdess-speech-emotion-recognition-final") model = Wav2Vec2ForSpeechClassification.from_pretrained("ameerazam08/wav2vec2-xlsr-ravdess-speech-emotion-recognition-final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitignore from ameerazam08/wav2vec2-xlsr-ravdess-speech-emotion-recognition-final: direct link, hf CLI and curl.
- Browser
- Download file 13 Bytes
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https://huggingface.co/ameerazam08/wav2vec2-xlsr-ravdess-speech-emotion-recognition-final/resolve/refs%2Fpr%2F1/.gitignore
- Command line
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hf download hf://ameerazam08/wav2vec2-xlsr-ravdess-speech-emotion-recognition-final@refs/pr/1/.gitignore
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curl -L -o .gitignore https://huggingface.co/ameerazam08/wav2vec2-xlsr-ravdess-speech-emotion-recognition-final/resolve/refs%2Fpr%2F1/.gitignore
13 Bytes
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