Instructions to use amburger66/robometer-4b-lora-robotsmith-task08-real with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amburger66/robometer-4b-lora-robotsmith-task08-real with Transformers:
# Load model directly from transformers import AutoProcessor, RBM processor = AutoProcessor.from_pretrained("amburger66/robometer-4b-lora-robotsmith-task08-real") model = RBM.from_pretrained("amburger66/robometer-4b-lora-robotsmith-task08-real") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 81fdf4affe22cd793fa1c9a9902ec0674a62a81ba03e8083a2efdd8ebdb6224a
- Size of remote file:
- 5.84 kB
- SHA256:
- 27684d19b15bf88505bac586445d32d1e6a46c79d1a17a9203d28075cb7967fd
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