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:
- b626af1de47ef9081c0d5e29a7712539301bfc64b9f58de814d50c152cbbda22
- Size of remote file:
- 4.97 GB
- SHA256:
- 5ad56dbdb7de7e13368f2aac4c35a4e77d73c178f57d9dae992df25ea2d89e8b
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