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
- Xet hash:
- 7dda52a8c9e0bdb2ef45df518bfd9a7e2afa6cb7f9f471a2a58ff3252a816782
- Size of remote file:
- 1.62 GB
- SHA256:
- 62fdb20d35c7668c44e074702d586462888d178978d709399a0455af1c66cd1f
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