Text Classification
Transformers
Safetensors
English
gemma4_unified
image-text-to-text
decision-model
system-one
gemma-4
Instructions to use arcbright/elf-1-12b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arcbright/elf-1-12b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="arcbright/elf-1-12b")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("arcbright/elf-1-12b") model = AutoModelForMultimodalLM.from_pretrained("arcbright/elf-1-12b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Today
-
Add files using upload-large-folder tool
Verified signatureda29a17