Audio Classification
Transformers
PyTorch
Safetensors
English
ser
wavlm
msp-podcast
emotion-recognition
audio
speech
valence
arousal
dominance
lucas
speech-emotion-recognition
custom_code
Instructions to use 3loi/SER-Odyssey-Baseline-WavLM-Multi-Attributes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 3loi/SER-Odyssey-Baseline-WavLM-Multi-Attributes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="3loi/SER-Odyssey-Baseline-WavLM-Multi-Attributes", trust_remote_code=True)# Load model directly from transformers import AutoModelForAudioClassification model = AutoModelForAudioClassification.from_pretrained("3loi/SER-Odyssey-Baseline-WavLM-Multi-Attributes", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model does not work on nvidia jetson orin nano
#3
by uyiosa - opened
Has this model been tested on the jetson orin? If not then I'll probably have to retrain the model from scratch I assume? or is there a way to get the weights from .bin file to load in a different compiled pytorch from the pytorch whch was used to train the weights?
The model has not been tested on the Jetson Orin. You can load the model as instructed, it loads it as a pytorch model. You can then save it into any format you wish.