Instructions to use amburger66/robometer-4b-lora-robotsmith-task03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amburger66/robometer-4b-lora-robotsmith-task03 with Transformers:
# Load model directly from transformers import AutoProcessor, RBM processor = AutoProcessor.from_pretrained("amburger66/robometer-4b-lora-robotsmith-task03") model = RBM.from_pretrained("amburger66/robometer-4b-lora-robotsmith-task03", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15e14b2b7427a057285d8455dbb20a1a787ba069a857c8c5871a6268d5ae12ee
- Size of remote file:
- 5.84 kB
- SHA256:
- 613f61c1856f1d10e0b45e06e24d92845d755b9f935778b8c022c275cde9f777
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