Instructions to use Paranchai/wav2vec2-large-xlsr-53-th-speech-emotion-recognition-3c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Paranchai/wav2vec2-large-xlsr-53-th-speech-emotion-recognition-3c with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Paranchai/wav2vec2-large-xlsr-53-th-speech-emotion-recognition-3c")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Paranchai/wav2vec2-large-xlsr-53-th-speech-emotion-recognition-3c") model = AutoModelForAudioClassification.from_pretrained("Paranchai/wav2vec2-large-xlsr-53-th-speech-emotion-recognition-3c", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Paranchai/wav2vec2-large-xlsr-53-th-speech-emotion-recognition-3c: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/Paranchai/wav2vec2-large-xlsr-53-th-speech-emotion-recognition-3c/resolve/main/model.safetensors
- Command line
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hf download hf://Paranchai/wav2vec2-large-xlsr-53-th-speech-emotion-recognition-3c/model.safetensors
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curl -L -o model.safetensors https://huggingface.co/Paranchai/wav2vec2-large-xlsr-53-th-speech-emotion-recognition-3c/resolve/main/model.safetensors
1.26 GB
- Xet hash:
- 271d8da56d601cba8f0e91382881dc22a0f44cf381a00c172c0e9a32df68e069
- Size of remote file:
- 1.26 GB
- SHA256:
- cf6932c64b19bdacef7db0b2168d22eb3a738ac318e113bb81f95371cdeb12a6
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