# Load model directly
from transformers import AutoProcessor, AutoModelForAudioClassification
processor = AutoProcessor.from_pretrained("Etherll/NoisySpeechDetection-v0.1")
model = AutoModelForAudioClassification.from_pretrained("Etherll/NoisySpeechDetection-v0.1", device_map="auto")Quick Links
Uploaded model
- Developed by: Etherll
- License: apache-2.0
- Finetuned from model : unsloth/whisper-small
This whisper model was trained 2x faster with Unsloth and Huggingface's TRL library.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Etherll/NoisySpeechDetection-v0.1")