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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ModalityDance/MRM-Reddit150-V1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add pipeline tag, library name, and paper link to metadata
Verified signatureHi! 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 the `transformers` library. - `arxiv: 2601.18731`: This links the model repository to its official paper on the Hugging Face Hub. Best, Nielscf62c08
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Upload folder using huggingface_hub
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