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whisperer
shimpu/whisperer
whisperer is a machine learning model from shimpu. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
ASR+Diarization handler that works natively with Inference Endpoints.
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Updated Jul 4, 2024
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.py9.8 KB · 82%
At a glance
- Access
- Public
- Created
- Jul 4, 2024
- Updated
- Jul 4, 2024
- SHA
- df64e753
Model card
From the Hugging Face model README
ASR+Diarization handler that works natively with Inference Endpoints.
Example payload:
import base64
import requests
API_URL = "<your endpoint URL>"
filepath = "/path/to/audio"
with open(filepath, 'rb') as f:
audio_encoded = base64.b64encode(f.read()).decode("utf-8")
data = {
"inputs": audio_encoded,
"parameters": {
"batch_size": 24
}
}
resp = requests.post(API_URL, json=data, headers={"Authorization": "Bearer <your token>"})
print(resp.json())
- Created
- Jul 4, 2024
- Updated
- Jul 4, 2024