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/behaviour/tests/fixtures/js/spawn.js from stonefish-labs/d3-mini-agentcode: direct link, hf CLI and curl.
- Browser
- Download file 240 Bytes
-
https://huggingface.co/stonefish-labs/d3-mini-agentcode/resolve/main/extractor/behaviour/tests/fixtures/js/spawn.js
- Command line
-
hf download hf://stonefish-labs/d3-mini-agentcode/extractor/behaviour/tests/fixtures/js/spawn.js
-
curl -L -o spawn.js https://huggingface.co/stonefish-labs/d3-mini-agentcode/resolve/main/extractor/behaviour/tests/fixtures/js/spawn.js
240 Bytes
| // Inert test fixture for behaviour extraction. Never executed; hosts use the reserved .invalid TLD. | |
| const { spawn } = require("node:child_process"); | |
| const cp = require("child_process"); | |
| cp.execSync("npm run build"); | |
| spawn("ls", ["-la"]); | |