Instructions to use amburger66/robometer-4b-lora-robotsmith-task02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amburger66/robometer-4b-lora-robotsmith-task02 with Transformers:
# Load model directly from transformers import AutoProcessor, RBM processor = AutoProcessor.from_pretrained("amburger66/robometer-4b-lora-robotsmith-task02") model = RBM.from_pretrained("amburger66/robometer-4b-lora-robotsmith-task02") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 732dc8fed475d4c53ce74043521628a82f635b07fc703f05b10ec9d321929a62
- Size of remote file:
- 5.84 kB
- SHA256:
- 8c2efc329d00d591a6212be5b835e319a81326c33369248710eb076bf67453b6
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