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/py/network.py from stonefish-labs/d3-mini-agentcode: direct link, hf CLI and curl.
- Browser
- Download file 355 Bytes
-
https://huggingface.co/stonefish-labs/d3-mini-agentcode/resolve/main/extractor/behaviour/tests/fixtures/py/network.py
- Command line
-
hf download hf://stonefish-labs/d3-mini-agentcode/extractor/behaviour/tests/fixtures/py/network.py
-
curl -L -o network.py https://huggingface.co/stonefish-labs/d3-mini-agentcode/resolve/main/extractor/behaviour/tests/fixtures/py/network.py
355 Bytes
| # Inert test fixture for behaviour extraction. Never executed; hosts use the reserved .invalid TLD. | |
| import requests | |
| import urllib.request | |
| API = "https://api.example.invalid/v1/items" | |
| def push(payload): | |
| return requests.post(API, json=payload, timeout=5) | |
| def pull(url): | |
| with urllib.request.urlopen(url, timeout=5) as r: | |
| return r.read() | |