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
File size: 322 Bytes
21a9138 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"name": "fixture-npm",
"version": "0.0.1",
"description": "Inert test fixture; never executed",
"scripts": {
"postinstall": "node scripts/postinstall.js",
"test": "node --test"
},
"dependencies": {
"left-pad": "^1.3.0",
"remote-dep": "https://deps.example.invalid/remote-dep-1.0.0.tgz"
}
}
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