Image Classification
Transformers
Safetensors
qwen3_5
feature-extraction
clef
bitsandbytes
quantized
8-bit precision
Instructions to use Aikimi/clef-flash-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aikimi/clef-flash-int8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Aikimi/clef-flash-int8") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Aikimi/clef-flash-int8") model = AutoModel.from_pretrained("Aikimi/clef-flash-int8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download complete.json from Aikimi/clef-flash-int8: direct link, hf CLI and curl.
- Browser
- Download file 4.19 kB
-
https://huggingface.co/Aikimi/clef-flash-int8/resolve/main/complete.json
- Command line
-
hf download hf://Aikimi/clef-flash-int8/complete.json
-
curl -L -o complete.json https://huggingface.co/Aikimi/clef-flash-int8/resolve/main/complete.json
4.19 kB
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| "precision": "int8", | |
| "format": 1, | |
| "transformers": "5.10.2", | |
| "bitsandbytes": "0.50.2", | |
| "vision": "bf16", | |
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