Feature Extraction
Transformers
Safetensors
decision2
decision-model
classification
system-one
custom_code
Instructions to use vllm-sr/Decision-2.0-Sol-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vllm-sr/Decision-2.0-Sol-2B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="vllm-sr/Decision-2.0-Sol-2B", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vllm-sr/Decision-2.0-Sol-2B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download decision2/__init__.py from vllm-sr/Decision-2.0-Sol-2B: direct link, hf CLI and curl.
- Browser
- Download file 164 Bytes
-
https://huggingface.co/vllm-sr/Decision-2.0-Sol-2B/resolve/73bb148b08891047c5ae96656548a9fbc387f2c8/decision2/__init__.py
- Command line
-
hf download hf://vllm-sr/Decision-2.0-Sol-2B@73bb148b08891047c5ae96656548a9fbc387f2c8/decision2/__init__.py
-
curl -L -o __init__.py https://huggingface.co/vllm-sr/Decision-2.0-Sol-2B/resolve/73bb148b08891047c5ae96656548a9fbc387f2c8/decision2/__init__.py
164 Bytes
| """Local System One runtime for a Decision 2.0 model package (no chat API).""" | |
| from .api import Decision2, verify_bundle | |
| __all__ = ["Decision2", "verify_bundle"] | |