Instructions to use amburger66/robometer-4b-lora-robotsmith-task03-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-task03-v2 with Transformers:
# Load model directly from transformers import AutoProcessor, RBM processor = AutoProcessor.from_pretrained("amburger66/robometer-4b-lora-robotsmith-task03-v2") model = RBM.from_pretrained("amburger66/robometer-4b-lora-robotsmith-task03-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6583eb0b1df4e88a1e2a5e123da8e913949fe42c9054ed044c027ecbcaaf6d37
- Size of remote file:
- 5.84 kB
- SHA256:
- 3b4baeef43bb862ad3754712e49984f3832701d420189d1eb6180f1bd093a620
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