Instructions to use amburger66/robometer-4b-lora-robotsmith-task00 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amburger66/robometer-4b-lora-robotsmith-task00 with Transformers:
# Load model directly from transformers import AutoProcessor, RBM processor = AutoProcessor.from_pretrained("amburger66/robometer-4b-lora-robotsmith-task00") model = RBM.from_pretrained("amburger66/robometer-4b-lora-robotsmith-task00") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f367a2309d83a1bc9abe4bc34241867f117fd056ee47bc69c6d88beb94fe1ba8
- Size of remote file:
- 5.84 kB
- SHA256:
- 4d636f232c08adc9c5d63468e4120967f0902a1e6e2b179092a435fbbfd0b5aa
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