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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ModalityDance/MRM-Reddit150-V2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add library_name and pipeline_tag metadata
Verified signatureHi! 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: 1. Enable the "Use in Transformers" button on the Hub. 2. Ensure the model appears in the correct task categories (Reward Models are typically documented under text-classification). 3. Link the artifact to its corresponding paper page on Hugging Face. The existing documentation, usage examples, and citation have been preserved.655a4d1
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