Instructions to use amburger66/robometer-4b-lora-robotsmith-task08-red 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-red with Transformers:
# Load model directly from transformers import AutoProcessor, RBM processor = AutoProcessor.from_pretrained("amburger66/robometer-4b-lora-robotsmith-task08-red") model = RBM.from_pretrained("amburger66/robometer-4b-lora-robotsmith-task08-red") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3982758bb9641fa0f6f815524f403b4fbdfaf0dc117005137d06d4e6c1612c99
- Size of remote file:
- 5.84 kB
- SHA256:
- f2459be855b0357a9ab20bccbcb3cd8f06f6af24111bc15d4b6019dbcd2129da
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