Instructions to use JakeOh/LLaDA-1.5-fixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JakeOh/LLaDA-1.5-fixed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="JakeOh/LLaDA-1.5-fixed", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JakeOh/LLaDA-1.5-fixed", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d72db7bf6c03c5021dc9a8eeb8c1ea5ba55593a302b6a3f217ec12201847ba12
- Size of remote file:
- 4.83 GB
- SHA256:
- 2539eae41171d1acac15cc64c0a53a00aac39e1ddb9be541a68d163de9ca261c
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