Zero-Shot Classification
Transformers
Safetensors
qwen3_5
feature-extraction
decision-model
classification
system-one
multimodal
vision
video
quantized
compressed-tensors
nvfp4
custom_code
8-bit precision
Instructions to use vllm-sr/d3-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vllm-sr/d3-NVFP4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="vllm-sr/d3-NVFP4", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("vllm-sr/d3-NVFP4", trust_remote_code=True) model = AutoModel.from_pretrained("vllm-sr/d3-NVFP4", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
9 days ago
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NVFP4 (W4A4) quantization of vllm-sr/d3 with FP4 runtime kernels and eval results
Hsiung Li SyunVerified signature61b3f92