Text Classification
Transformers
Safetensors
qwen3_5
image-text-to-text
decision-model
system-one
typed-decisions
uncensored
abliterated
calibrated-probabilities
noul
choice
score
qwen3.8
jev
jev-1.13-teacher
Instructions to use SargeDev/JEV-27B-Uncensored with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SargeDev/JEV-27B-Uncensored with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SargeDev/JEV-27B-Uncensored")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("SargeDev/JEV-27B-Uncensored") model = AutoModelForMultimodalLM.from_pretrained("SargeDev/JEV-27B-Uncensored", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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