MIT Ast Finetuned Speech Commands V2 Ov

🚀 MIT/ast-finetuned-speech-commands-v2

這是轉換為 OpenVINO 的 MIT/ast-finetuned-speech-commands-v2 模型，可實現加速推理。

🚀 快速開始

模型推理示例

以下是對此模型進行推理的示例代碼：

from optimum.intel.openvino import OVModelForAudioClassification
from transformers import AutoFeatureExtractor, pipeline

# model_id 應設置為本地目錄或 HuggingFace 中心上可用的模型。
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)

💻 使用示例

基礎用法

from optimum.intel.openvino import OVModelForAudioClassification
from transformers import AutoFeatureExtractor, pipeline

# model_id 應設置為本地目錄或 HuggingFace 中心上可用的模型。
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)