Instructions to use muralcode/ArithaAI.Oracle-1.2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muralcode/ArithaAI.Oracle-1.2B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("muralcode/ArithaAI.Oracle-1.2B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33fbdc34b02b5bdaa7eb26463363d231e589330d802f0f58b7363834696c0cdf
- Size of remote file:
- 14.2 MB
- SHA256:
- cfa4968295bc0d4510dd4ae48531eb8609e4a470ffe0497e5c6424c6d67535a9
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