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MIT-ast-finetuned-speech-commands-v2-ov
helenai/MIT-ast-finetuned-speech-commands-v2-ov
MIT-ast-finetuned-speech-commands-v2-ov is a audio classification model from helenai. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for transformers.
This is the MIT/ast-finetuned-speech-commands-v2 model converted to OpenVINO, for accellerated inference.
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At a glance
- Task
- Audio Classification
- Library
- transformers
- Model type
- audio-spectrogram-transformer
- Access
- Public
- Created
- Mar 11, 2023
- Updated
- Mar 11, 2023
- SHA
- 820e8b73
Model card
From the Hugging Face model README
MIT/ast-finetuned-speech-commands-v2
This is the MIT/ast-finetuned-speech-commands-v2 model converted to OpenVINO, for accellerated inference.
An example of how to do inference on this model:
from optimum.intel.openvino import OVModelForAudioClassification
from transformers import AutoFeatureExtractor, pipeline
# model_id should be set to either a local directory or a model available on the HuggingFace hub.
model_id = "helenai/MIT-ast-finetuned-speech-commands-v2-ov"
feature_extractor = AutoFeatureExtractor.from_pretrained(model_id)
model = OVModelForAudioClassification.from_pretrained(model_id)
pipe = pipeline("audio-classification", model=model, feature_extractor=feature_extractor)
result = pipe("https://datasets-server.huggingface.co/assets/speech_commands/--/v0.01/test/38/audio/audio.mp3")
print(result)
- Task
- Audio Classification
- Library
- transformers
- Type
- audio-spectrogram-transformer
- Languages
- en
- Created
- Mar 11, 2023
- Updated
- Mar 11, 2023