Text Classification
Transformers
Safetensors
English
Korean
qwen3_5
image-text-to-text
ztc
answer-verification
hallucination-detection
zero-token
confidence-estimation
Instructions to use FINAL-Bench/ZTC-Judge-27B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FINAL-Bench/ZTC-Judge-27B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FINAL-Bench/ZTC-Judge-27B")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("FINAL-Bench/ZTC-Judge-27B") model = AutoModelForMultimodalLM.from_pretrained("FINAL-Bench/ZTC-Judge-27B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 244 Bytes
24b4119 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"bos_token_id": 248044,
"do_sample": true,
"eos_token_id": [
248046,
248044
],
"pad_token_id": 248044,
"temperature": 0.6,
"top_k": 20,
"top_p": 0.95,
"transformers_version": "4.57.0.dev0"
} |