Text Classification
Transformers
Safetensors
English
Portuguese
qwen3_5
image-text-to-text
world-model
consequence-model
agent-safety
ai-agents
git
calibration
typed-decisions
jepa
openinterp
image-classification
multimodal
Eval Results (legacy)
Instructions to use caiovicentino1/Ekbasis-27B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use caiovicentino1/Ekbasis-27B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="caiovicentino1/Ekbasis-27B")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("caiovicentino1/Ekbasis-27B") model = AutoModelForMultimodalLM.from_pretrained("caiovicentino1/Ekbasis-27B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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