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")
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# Inert test fixture for behaviour extraction. Never executed; hosts use the reserved .invalid TLD. from setuptools import setup setup(name="fixture-py", version="0.0.1", packages=["fixture_py"], data_files=[("", ["fixture_py_startup.pth"])])
