Instructions to use snolyai/resultsfinal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use snolyai/resultsfinal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="snolyai/resultsfinal")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("snolyai/resultsfinal") model = AutoModelForAudioClassification.from_pretrained("snolyai/resultsfinal") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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:f8f71d17f42841c273e27e1a68d92185ac6df724e07d8692622bd4817f1f0696
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size 1262859248
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