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
Eval Results (legacy)
Eval Results
Instructions to use autotrust/AutoTrust-Decider-Pro-27B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use autotrust/AutoTrust-Decider-Pro-27B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="autotrust/AutoTrust-Decider-Pro-27B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("autotrust/AutoTrust-Decider-Pro-27B") model = AutoModelForCausalLM.from_pretrained("autotrust/AutoTrust-Decider-Pro-27B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download calibration.json from autotrust/AutoTrust-Decider-Pro-27B: direct link, hf CLI and curl.
- Browser
- Download file 999 Bytes
-
https://huggingface.co/autotrust/AutoTrust-Decider-Pro-27B/resolve/main/calibration.json
- Command line
-
hf download hf://autotrust/AutoTrust-Decider-Pro-27B/calibration.json
-
curl -L -o calibration.json https://huggingface.co/autotrust/AutoTrust-Decider-Pro-27B/resolve/main/calibration.json
999 Bytes
| { | |
| "version": 1, | |
| "per_kind": { | |
| "noul": 1.0143134751376188, | |
| "choice": 1.0161280671450397, | |
| "score": 1.0036213515883572 | |
| }, | |
| "per_kind_family": {}, | |
| "fit": { | |
| "noul": { | |
| "n": 4363, | |
| "T": 1.0143134751376188, | |
| "kl_before": 0.004241107031702995, | |
| "kl_after": 0.004223881289362907 | |
| }, | |
| "choice": { | |
| "n": 3418, | |
| "T": 1.0161280671450397, | |
| "kl_before": 0.04535770043730736, | |
| "kl_after": 0.04530283063650131 | |
| }, | |
| "score": { | |
| "n": 3173, | |
| "T": 1.0036213515883572, | |
| "kl_before": 0.0210201907902956, | |
| "kl_after": 0.021016595885157585 | |
| } | |
| }, | |
| "diagnostic_calibration_split": { | |
| "raw": { | |
| "kl": 0.021931130439043045, | |
| "ece": 0.002680546396815126, | |
| "mce": 0.012234896421432495 | |
| }, | |
| "calibrated": { | |
| "kl": 0.021906107664108276, | |
| "ece": 0.0014270851053589991, | |
| "mce": 0.01255643367767334 | |
| } | |
| }, | |
| "source": "checkpoints/s2_27b/best", | |
| "fit_rows": 10954, | |
| "d1_excluded": true | |
| } |