Instructions to use ArthurZ/d3-flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArthurZ/d3-flash with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="ArthurZ/d3-flash")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ArthurZ/d3-flash", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download NOTICE from ArthurZ/d3-flash: direct link, hf CLI and curl.
- Browser
- Download file 105 Bytes
-
https://huggingface.co/ArthurZ/d3-flash/resolve/main/NOTICE
- Command line
-
hf download hf://ArthurZ/d3-flash/NOTICE
-
curl -L -o NOTICE https://huggingface.co/ArthurZ/d3-flash/resolve/main/NOTICE
105 Bytes
| d3-flash (Decision 3.0) | |
| Copyright 2026 vLLM Semantic Router Team | |
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