Text Classification
Transformers
Safetensors
English
qwen3_5_text
text-generation
system-one
system-two
blocks-of-experts
typed-decisions
decision-model
calibrated-probabilities
knowledge-distillation
jev
noul
choice
score
lora
qwen3_5
dual-head
vllm
multimodal
vision
computer-use
robotics
Eval Results (legacy)
Instructions to use autotrust/AutoTrust-Decider-Mini-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use autotrust/AutoTrust-Decider-Mini-9B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="autotrust/AutoTrust-Decider-Mini-9B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("autotrust/AutoTrust-Decider-Mini-9B") model = AutoModelForCausalLM.from_pretrained("autotrust/AutoTrust-Decider-Mini-9B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 98 Bytes
b63f651 | 1 2 3 4 5 6 7 8 | {
"n": 960,
"top1_by_stroke_fraction": {
"0.3": 0.371875,
"0.6": 0.525,
"1.0": 0.7625
}
} |