Zero-Shot Classification
Transformers
Safetensors
qwen3_5
feature-extraction
decision-model
classification
system-one
multimodal
vision
video
custom_code
8-bit precision
compressed-tensors
Instructions to use machinez/d3-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use machinez/d3-NVFP4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="machinez/d3-NVFP4", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("machinez/d3-NVFP4", trust_remote_code=True) model = AutoModel.from_pretrained("machinez/d3-NVFP4", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download __pycache__/d3_format.cpython-310.pyc from machinez/d3-NVFP4: direct link, hf CLI and curl.
- Browser
- Download file 5.28 kB
-
https://huggingface.co/machinez/d3-NVFP4/resolve/main/__pycache__/d3_format.cpython-310.pyc
- Command line
-
hf download hf://machinez/d3-NVFP4/__pycache__/d3_format.cpython-310.pyc
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curl -L -o d3_format.cpython-310.pyc https://huggingface.co/machinez/d3-NVFP4/resolve/main/__pycache__/d3_format.cpython-310.pyc
5.28 kB
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