Instructions to use amburger66/robometer-4b-lora-robotsmith-task02-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-task02-real with Transformers:
# Load model directly from transformers import AutoProcessor, RBM processor = AutoProcessor.from_pretrained("amburger66/robometer-4b-lora-robotsmith-task02-real") model = RBM.from_pretrained("amburger66/robometer-4b-lora-robotsmith-task02-real") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24c335820fc20de659940df658f5020220a7b250f5e87ed218fe46a45b9de645
- Size of remote file:
- 5.84 kB
- SHA256:
- 38498c9c471b1f55d68357cafbae48cb13344af0e185644af52b45dfa5fdc406
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