Zero-Shot Classification
Transformers
Safetensors
qwen3_5
feature-extraction
decision-model
classification
system-one
multimodal
vision
video
custom_code
Eval Results
Instructions to use vllm-sr/d3-nano with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vllm-sr/d3-nano with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="vllm-sr/d3-nano", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("vllm-sr/d3-nano", trust_remote_code=True) model = AutoModel.from_pretrained("vllm-sr/d3-nano", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
13 days ago
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Runtime: loading checks only the files the runtime reads
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15 days ago
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Runtime: simpler System One server
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16 days ago
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d3-nano v3.1.0
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d3-nano v3.0.3
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17 days ago
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d3-nano v3.0.2
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d3-nano v3.0.1
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d3-nano
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