Text Classification
Transformers
Safetensors
English
qwen3_5_text
text-generation
system-one
typed-decisions
decision-model
calibrated-probabilities
knowledge-distillation
jev
noul
choice
score
lora
qwen3_5
dual-head
vllm
Eval Results (legacy)
Instructions to use autotrust/JEV with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use autotrust/JEV with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="autotrust/JEV")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("autotrust/JEV") model = AutoModelForCausalLM.from_pretrained("autotrust/JEV", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| # Mid-training review gate: pause the trainer, calibrate + evaluate a checkpoint, resume. | |
| # usage: scripts/review_checkpoint.sh <ckpt_dir> <tag> [trainer_pid] [perm_rows] | |
| set -euo pipefail | |
| cd "$(dirname "$0")/.." | |
| CKPT="$1"; TAG="$2"; PID="${3:-}"; PERM="${4:-500}" | |
| export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True | |
| mkdir -p reports/review logs | |
| resume() { if [ -n "$PID" ]; then kill -CONT "$PID" 2>/dev/null && echo "resumed trainer $PID"; fi; } | |
| trap resume EXIT | |
| if [ -n "$PID" ]; then kill -STOP "$PID" && echo "paused trainer $PID"; fi | |
| # snapshot the checkpoint so the trainer cannot overwrite it mid-review | |
| SNAP="reports/review/${TAG}_ckpt"; rm -rf "$SNAP"; cp -r "$CKPT" "$SNAP" | |
| python3 -c "import json;print(json.load(open('$SNAP/train_state.json')))" | |
| python3 scripts/fit_temperature.py --checkpoint "$SNAP" --out "$SNAP/calibration.json" 2>&1 | grep -v -iE "warn|deprecat|USDT|it/s\]" | grep -E "rows|\"(noul|choice|score)\"|kl|ece|->" || true | |
| python3 scripts/evaluate.py --checkpoint "$SNAP" --temperature "$SNAP/calibration.json" \ | |
| --splits test_set_30k,ood --out "reports/review/${TAG}.md" --json "reports/review/${TAG}.json" \ | |
| --baseline-json "${B0_JSON:-reports/b0_qwen35_9b.json}" --perm-rows "$PERM" 2>&1 | grep -v -iE "warn|deprecat|USDT|it/s\]" | grep -E "^\[|report" || true | |
| rm -rf "$SNAP"/model-*.safetensors 2>/dev/null || true | |
| echo "=== acceptance (excl. D1) ===" | |
| sed -n '/excluding yuri_v1/,/^$/p' "reports/review/${TAG}.md" | head -12 | |