Text Classification
Transformers
Safetensors
mistral3
image-text-to-text
decision-model
schema-head
fp8
compressed-tensors
Instructions to use StandardThinking/StandardOne-3B-SH-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StandardThinking/StandardOne-3B-SH-FP8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="StandardThinking/StandardOne-3B-SH-FP8")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("StandardThinking/StandardOne-3B-SH-FP8") model = AutoModelForMultimodalLM.from_pretrained("StandardThinking/StandardOne-3B-SH-FP8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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