Instructions to use diffusion-reasoning/LLaDA-8B-Instruct-wd1-acecode-iter60 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diffusion-reasoning/LLaDA-8B-Instruct-wd1-acecode-iter60 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="diffusion-reasoning/LLaDA-8B-Instruct-wd1-acecode-iter60", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("diffusion-reasoning/LLaDA-8B-Instruct-wd1-acecode-iter60", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 126 Bytes
de124d5 | 1 2 3 4 5 6 7 | {
"_from_model_config": true,
"bos_token_id": 126080,
"eos_token_id": 126081,
"transformers_version": "4.52.0.dev0"
}
|