Instructions to use amburger66/robometer-4b-lora-robotsmith-task08 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 with Transformers:
# Load model directly from transformers import AutoProcessor, RBM processor = AutoProcessor.from_pretrained("amburger66/robometer-4b-lora-robotsmith-task08") model = RBM.from_pretrained("amburger66/robometer-4b-lora-robotsmith-task08") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25023552eab5c81be11f538ca24287cf0903593a050bbd6cc1f9d2a136ab29e7
- Size of remote file:
- 5.84 kB
- SHA256:
- 3c4cabe862c90b0331ed2c279c4e903aa86e57dd0fb69dd505b84389a5033e4f
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