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privet
Lilpopit/privet
privet is a machine learning model from Lilpopit. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Updated Jun 22, 2023
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At a glance
- Access
- Public
- Created
- Jun 22, 2023
- Updated
- Jun 22, 2023
- SHA
- 10e6d344
Model card
From the Hugging Face model README
import requests
API_URL = "https://api-inference.huggingface.co/models/Falon/ayaka-db" headers = {"Authorization": f"Bearer {API_TOKEN}"}
def query(payload): response = requests.post(API_URL, headers=headers, json=payload) return response.content image_bytes = query({ "inputs": "Astronaut riding a horse", })
You can access the image with PIL.Image for example
import io from PIL import Image image = Image.open(io.BytesIO(image_bytes))
- Created
- Jun 22, 2023
- Updated
- Jun 22, 2023