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:
- 5d3c3ce919543e3a9e57983a4b9347916aafd52c96e0e5b1c91e8d2aff49ab55
- Size of remote file:
- 4.97 GB
- SHA256:
- d94b84ff845f93d19d1b839d477ca1d21e3765c66d66b3cd740e7bac866dc3cd
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