How to use siddheshtv/BlockNet10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="siddheshtv/BlockNet10") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# pip install -U transformers accelerate # Load model directly from transformers import BlockNet10 model = BlockNet10.from_pretrained("siddheshtv/BlockNet10", device_map="auto")
https://huggingface.co/siddheshtv/BlockNet10/resolve/main/analytics.png
hf download hf://siddheshtv/BlockNet10/analytics.png
curl -L -o analytics.png https://huggingface.co/siddheshtv/BlockNet10/resolve/main/analytics.png
