Instructions to use ModalityDance/MRM-Reddit150-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModalityDance/MRM-Reddit150-V2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ModalityDance/MRM-Reddit150-V2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ModalityDance/MRM-Reddit150-V2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add library_name and pipeline_tag metadata
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the Hugging Face community team.
I've updated the model card to include the library_name: transformers and pipeline_tag: text-classification metadata. I've also added the arxiv ID to link this repository to the original research paper.
These tags are important as they:
- Enable the "Use in Transformers" button on the Hub.
- Ensure the model appears in the correct task categories (Reward Models are typically documented under text-classification).
- Link the artifact to its corresponding paper page on Hugging Face.
The existing documentation, usage examples, and citation have been preserved.
HongruCai changed pull request status to merged