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Hi @Raibows 🤗
I'm Niels from the Hugging Face open-source team. I discovered your CREAM paper via Hugging Face Papers: https://huggingface.co/papers/2410.12735. It's impressive work! Your paper page lets people discuss your paper and link to its artifacts. You can also claim the paper for your HF profile and link your GitHub and project pages.
Your GitHub repo is excellent! To maximize your research's impact and accessibility, we encourage you to consider hosting the trained CREAM model checkpoints and dataset(s) on the Hugging Face Hub. This boosts discoverability, visibility, and collaboration. We can help with uploading and create detailed model and dataset cards with appropriate metadata.
The README mentions downloading data; could you please clarify the dataset's name(s) and contents (are they new or curated)? This will allow us to create the most effective dataset card(s). Similarly, the training process implies new model checkpoints. Could you please share details about how many and which checkpoints were created and if these are also new?
We have guides for uploading models and datasets:
- Models: https://huggingface.co/docs/hub/models-uploading
- Datasets: https://huggingface.co/docs/datasets/loading
Let me know if you have questions or need assistance! We're happy to help!
Best regards,
Niels
ML Engineer @ Hugging Face 🤗