Instructions to use opencampus/sign-whisper-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use opencampus/sign-whisper-german with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("opencampus/sign-whisper-german", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Setup for Inference
#3
by lennarthesse - opened
Hello!
We are currently working on a project for teaching sign language in an interactive way and were searching for models trained for sign recognition. We would love to use your model but are currently struggling to set it up for inference. Your GitHub repository seemed to be focused on extracting training data and your chat application. Could you point us to resources on how exactly the output of MediaPipe should be prepared for use in the model? Do you have records of how to use the model here on Hugging Face in an application like ours?
We are looking forward to your reply!