Instructions to use TDDBench/mlp-student-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TDDBench/mlp-student-0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TDDBench/mlp-student-0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card for TDDBench MLP Target Model
#1
by nielsr HF Staff - opened
This PR updates and improves the model card for the TDDBench/mlp-student-0 model checkpoint.
Key enhancements include:
- Clarifying that this repository hosts a specific target model used within the broader TDDBench benchmark.
- Adding a comprehensive description based on the associated paper, "TDDBench: A Benchmark for Training data detection".
- Including practical Python code snippets for loading this model and related datasets, demonstrating usage within the Hugging Face
transformersanddatasetslibraries. - Adding the
pipeline_tag: otherto accurately represent its specialized role in training data detection research. - Adding relevant
tagssuch asbenchmark,training-data-detection,membership-inference, andcomputer-securityto enhance discoverability. - Providing direct links to the research paper and the official GitHub repository.
This update makes the model card significantly more informative and user-friendly for researchers interested in Training Data Detection.