Instructions to use ModalityDance/MRM-PRISM-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModalityDance/MRM-PRISM-V1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ModalityDance/MRM-PRISM-V1")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ModalityDance/MRM-PRISM-V1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add transformers library tag and improve model card
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the Hugging Face community science team.
This PR adds the library_name: transformers and pipeline_tag: text-classification tags to the model metadata. This will help improve the model's discoverability and enable the "Use in Transformers" button on the repository. I have also linked the model card to the accompanying paper: One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment.
HongruCai changed pull request status to merged