Text Classification
Transformers
Safetensors
Japanese
uratori
feature-extraction
japanese
grounding
fact-verification
rag
decision-model
custom_code
Instructions to use tokimoa/uratori-ja-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tokimoa/uratori-ja-4b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tokimoa/uratori-ja-4b", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tokimoa/uratori-ja-4b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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