Instructions to use ModalityDance/MRM-Reddit150-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModalityDance/MRM-Reddit150-V1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ModalityDance/MRM-Reddit150-V1")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ModalityDance/MRM-Reddit150-V1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag, library name, and paper link to metadata
#1
by nielsr HF Staff - opened
Hi! I'm Niels, part of the community science team at Hugging Face.
This PR improves the model card by adding:
pipeline_tag: text-classification: This helps users find the model under the correct task category (Reward Modeling is typically classified as text classification on the Hub).library_name: transformers: Based on the usage example, the model is compatible with thetransformerslibrary.arxiv: 2601.18731: This links the model repository to its official paper on the Hugging Face Hub.
Best,
Niels
HongruCai changed pull request status to merged