Text Classification
Transformers
Safetensors
English
safety
guardrail
coding-agent
tool-call
command-review
permission
modernbert
Instructions to use openvulcan/vulcan-decision-shell-v1-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openvulcan/vulcan-decision-shell-v1-mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="openvulcan/vulcan-decision-shell-v1-mini")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openvulcan/vulcan-decision-shell-v1-mini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 703 Bytes
f42e39c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | {
"max_tokens": 32768,
"head_tokens": 288,
"option_tokens": 48,
"max_request_items": 256,
"micro_batch": 16,
"allow_margin": 1.0,
"labels": [
"allow",
"review",
"block"
],
"input_fields": [
"input_ids",
"attention_mask",
"marker_pos",
"marker_mask",
"qtype"
],
"model_file": "onnx/model.onnx",
"precision": "fp16_projections_fp32_attention",
"gpu_memory_limit_mib": 12288,
"arena_trim_above_tokens": 4096,
"head_layers": 2,
"n_act": 2,
"parameters": 199088899,
"weight_files": {
"original": "../weights/fp32/model.safetensors",
"fp16": "../weights/fp16/model.safetensors",
"bf16": "../weights/bf16/model.safetensors"
}
}
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