Instructions to use dongboklee/dPRM-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dongboklee/dPRM-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dongboklee/dPRM-8B")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dongboklee/dPRM-8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add paper ID to metadata
#1
by nielsr HF Staff - opened
This PR adds the paper ID (2510.00492) to the YAML metadata of the model card. This helps in linking the model directly to its associated paper on the Hugging Face Hub, improving discoverability and organization.
No other changes were made, as the existing model card content, including the arXiv paper link, GitHub repository link, and sample usage, already adheres to best practices and the provided guidelines.