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:
- b12d265b762c07ba167472fd301180c788deccfe0f1d669e5cfe192b67ccaad1
- Size of remote file:
- 4.96 GB
- SHA256:
- e2e6d909be6f163825c793f1a2c0d3f4120494d11bb5878a34faa4ea7cd1e99f
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