Text Classification
Transformers
Safetensors
English
qwen3_5_text
text-generation
exl3
exl3xpu
intel
arc
battlemage
b580
b60
xpu
quantized
vllm
qwen3.5
system-one
system-two
typed-decisions
decision-model
calibrated-probabilities
jev
noul
choice
score
dual-head
2-bit
Instructions to use alpha2beta/JEV-9B-EXL3-K2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alpha2beta/JEV-9B-EXL3-K2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alpha2beta/JEV-9B-EXL3-K2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("alpha2beta/JEV-9B-EXL3-K2") model = AutoModelForCausalLM.from_pretrained("alpha2beta/JEV-9B-EXL3-K2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!