Text Classification
Transformers
Safetensors
qwen3_5_text
text-generation
cerno
system-one
typed-decisions
calibrated-probabilities
decision-index
fp8
Eval Results (legacy)
compressed-tensors
Instructions to use apertixai/cerno-9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apertixai/cerno-9b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="apertixai/cerno-9b")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("apertixai/cerno-9b") model = AutoModelForCausalLM.from_pretrained("apertixai/cerno-9b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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