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/pkg_py/fixture_py_startup.pth from stonefish-labs/d3-mini-agentcode: direct link, hf CLI and curl.
- Browser
- Download file 18 Bytes
-
https://huggingface.co/stonefish-labs/d3-mini-agentcode/resolve/main/extractor/behaviour/tests/fixtures/pkg_py/fixture_py_startup.pth
- Command line
-
hf download hf://stonefish-labs/d3-mini-agentcode/extractor/behaviour/tests/fixtures/pkg_py/fixture_py_startup.pth
-
curl -L -o fixture_py_startup.pth https://huggingface.co/stonefish-labs/d3-mini-agentcode/resolve/main/extractor/behaviour/tests/fixtures/pkg_py/fixture_py_startup.pth
18 Bytes
- Xet hash:
- d97ebe272976bffad04377405229a3dd037bdbc260641a24820ca4ae0b001b07
- Size of remote file:
- 18 Bytes
- SHA256:
- 79db784d5b16eb47bf949369e9fb8cbbf8d2af55580b95bfc175605443113f21
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.