Zero-Shot Classification
Transformers
Safetensors
qwen3_5
feature-extraction
security
code-review
ai-agents
decision-model
d3
system-one
pre-release
custom_code
Instructions to use stonefish-labs/d3-mini-agentcode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stonefish-labs/d3-mini-agentcode with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="stonefish-labs/d3-mini-agentcode", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("stonefish-labs/d3-mini-agentcode", trust_remote_code=True) model = AutoModel.from_pretrained("stonefish-labs/d3-mini-agentcode", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download extractor/requirements.txt from stonefish-labs/d3-mini-agentcode: direct link, hf CLI and curl.
- Browser
- Download file 223 Bytes
-
https://huggingface.co/stonefish-labs/d3-mini-agentcode/resolve/main/extractor/requirements.txt
- Command line
-
hf download hf://stonefish-labs/d3-mini-agentcode/extractor/requirements.txt
-
curl -L -o requirements.txt https://huggingface.co/stonefish-labs/d3-mini-agentcode/resolve/main/extractor/requirements.txt
223 Bytes
| # Versions used to build the training and evaluation states. Without tree-sitter the extractor falls back to line | |
| # regexes (reduced coverage) and says so in its notes. | |
| tree-sitter==0.26.0 | |
| tree-sitter-language-pack==1.12.5 | |