Instructions to use ModalityDance/MRM-Reddit100-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModalityDance/MRM-Reddit100-V1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ModalityDance/MRM-Reddit100-V1")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ModalityDance/MRM-Reddit100-V1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add pipeline_tag and library_name to model card
Verified signatureHi! I'm Niels from the Hugging Face community team. This PR improves the model card by: - Moving the metadata to the standard YAML frontmatter format at the top of the file. - Adding `pipeline_tag: text-classification`, which is the standard tag for reward models. - Adding `library_name: transformers` as the model utilizes the Transformers library for text encoding and base model loading. These changes help users discover your model more easily and enable the "Use in Transformers" button on the Hub. The rest of your documentation remains unchanged as it is already very comprehensive!e20fc89
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