Zero-Shot Classification
Transformers
Safetensors
English
qwen3_5
feature-extraction
multi-label-classification
decision-model
classification
system-one
custom_code
Instructions to use akta-pro/d3-mini-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akta-pro/d3-mini-multi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="akta-pro/d3-mini-multi", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("akta-pro/d3-mini-multi", trust_remote_code=True) model = AutoModel.from_pretrained("akta-pro/d3-mini-multi", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download NOTICE from akta-pro/d3-mini-multi: direct link, hf CLI and curl.
- Browser
- Download file 449 Bytes
-
https://huggingface.co/akta-pro/d3-mini-multi/resolve/main/NOTICE
- Command line
-
hf download hf://akta-pro/d3-mini-multi/NOTICE
-
curl -L -o NOTICE https://huggingface.co/akta-pro/d3-mini-multi/resolve/main/NOTICE
449 Bytes
| d3-mini-multi | |
| Copyright 2026 akta.pro | |
| This model is a fine-tune of d3-mini (Decision 3.0) by akta.pro. | |
| akta.pro modified model-00001-of-00002.safetensors, model-00002-of-00002.safetensors | |
| and model.safetensors.index.json, and wrote README.md, NOTICE and SHA256SUMS. | |
| The other files are copied unchanged from vllm-sr/d3-mini, revision 97dd054. | |
| d3-mini (Decision 3.0) | |
| Copyright 2026 vLLM Semantic Router Team | |
| Built on Qwen/Qwen3.5-4B (Apache-2.0). | |