Instructions to use aherzberg/ser_model_fixed_label with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aherzberg/ser_model_fixed_label with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="aherzberg/ser_model_fixed_label")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("aherzberg/ser_model_fixed_label") model = AutoModelForAudioClassification.from_pretrained("aherzberg/ser_model_fixed_label") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:70064dad1e57f35eb5f99a42d74e5ef3544f36b22a1acecdc89af774cf862894
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size 378306424
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