Text Classification
Transformers
Safetensors
English
qwen3_5_text
text-generation
decision-model
system-one
single-pass
calibrated
structured-outputs
multi-choice-qa
Instructions to use Ethan33X/Ventus-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ethan33X/Ventus-2B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ethan33X/Ventus-2B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Ethan33X/Ventus-2B") model = AutoModelForCausalLM.from_pretrained("Ethan33X/Ventus-2B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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