Instructions to use amburger66/robometer-4b-lora-robotsmith-task02-real-v2 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-v2 with Transformers:
# Load model directly from transformers import AutoProcessor, RBM processor = AutoProcessor.from_pretrained("amburger66/robometer-4b-lora-robotsmith-task02-real-v2") model = RBM.from_pretrained("amburger66/robometer-4b-lora-robotsmith-task02-real-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f51db416ce59ceb04f0a4cda8215780fb87001582460871565c0e16a18b18ce
- Size of remote file:
- 5.84 kB
- SHA256:
- feb4b77e2fd2c88ab1bcd9254911668a390e10e9dbc5e7afbd1e71745dc7beb0
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