Audio Classification
Transformers
PyTorch
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
audio
automatic-speech-recognition
speech
speech-emotion-recognition
Instructions to use m3hrdadfi/ser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m3hrdadfi/ser with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="m3hrdadfi/ser")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("m3hrdadfi/ser") model = AutoModelForAudioClassification.from_pretrained("m3hrdadfi/ser") - Notebooks
- Google Colab
- Kaggle
Add pytorch model
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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oid sha256:5b421460ce081d639ea10a7d986535fdec5dc6f29e2cfa3529ac866266f21c8e
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size 1262952818
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