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 pytorch_model.bin from ameerazam08/wav2vec2-xlsr-ravdess-speech-emotion-recognition-final: direct link, hf CLI and curl.
- Browser
- Download file 1.27 GB
-
https://huggingface.co/ameerazam08/wav2vec2-xlsr-ravdess-speech-emotion-recognition-final/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ameerazam08/wav2vec2-xlsr-ravdess-speech-emotion-recognition-final/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ameerazam08/wav2vec2-xlsr-ravdess-speech-emotion-recognition-final/resolve/main/pytorch_model.bin
1.27 GB
- Xet hash:
- e7a7e3aedd4f3eec31322cc70184c181846b2a578ee3720d2221ade6cd9ee939
- Size of remote file:
- 1.27 GB
- SHA256:
- 93536e6e0a8eb02eb18680c9457964a62569508e9def6f8c9dc2c61aac2fa178
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