Text Classification
Transformers
Safetensors
gemma4
image-text-to-text
spinf-serve
decision-model
batch-invariant
fp8
compressed-tensors
Instructions to use Spinf/gemma-4-31b-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Spinf/gemma-4-31b-fp8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Spinf/gemma-4-31b-fp8")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Spinf/gemma-4-31b-fp8") model = AutoModelForMultimodalLM.from_pretrained("Spinf/gemma-4-31b-fp8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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