Instructions to use howey/LLaDA-8B-Instruct-DLPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use howey/LLaDA-8B-Instruct-DLPO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="howey/LLaDA-8B-Instruct-DLPO", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("howey/LLaDA-8B-Instruct-DLPO", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fea848b9e86aa03fd4cd5afe9e4d173a35e1009d94dcef86f3bdb1e176d1b66
- Size of remote file:
- 7.42 kB
- SHA256:
- f5396642462b6b557a71be13ab7e1d80ea61d6b2aa29d578810f76930757e7c4
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