Instructions to use Samonte/zils-lite-body-h1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Samonte/zils-lite-body-h1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Samonte/zils-lite-body-h1", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Samonte/zils-lite-body-h1", trust_remote_code=True) model = AutoModel.from_pretrained("Samonte/zils-lite-body-h1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
d3-lite decision body
A d3-lite decision body (Qwen/Qwen3.5-0.8B family) for the Zils subnet 127 lite pool.
Full fine-tune of the current lite soup (qhoenix/zils-lite-decision-v9, Apache-2.0) on decision-style data from train splits of public datasets, programmatically generated practice items, and resolved public outcome items, then weight-averaged with its starting point. Licensed under Apache-2.0.
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