# Load model directly
from transformers import AutoFeatureExtractor, AutoModelForAudioClassification
extractor = AutoFeatureExtractor.from_pretrained("FidelOdok/doa_model_TL4")
model = AutoModelForAudioClassification.from_pretrained("FidelOdok/doa_model_TL4")Quick Links
Model Description
This is the model card for a Sound Localisation Model estimating the direction of arrival (DOA) from stational resound sources. The model was trained and evaluated using a SOFA dataset. This model was fine-tuned using the AST Model. (MIT/ast-finetuned-audioset-10-10-0.4593). Developed by Fidelis Odok (University of Hertfordshire)
- Developed by: Fidelis Odok
- Finetuned from model [optional]: (MIT/ast-finetuned-audioset-10-10-0.4593)
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="FidelOdok/doa_model_TL4")