Instructions to use chomeed/robometer_board_insertion_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chomeed/robometer_board_insertion_lora with PEFT:
Task type is invalid.
- Transformers
How to use chomeed/robometer_board_insertion_lora with Transformers:
# Load model directly from transformers import AutoProcessor, RBM processor = AutoProcessor.from_pretrained("chomeed/robometer_board_insertion_lora") model = RBM.from_pretrained("chomeed/robometer_board_insertion_lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 906d22903953b0c37f672f0dd1368702550f40b74292f041155eb77a6c7a9717
- Size of remote file:
- 5.84 kB
- SHA256:
- e2afa75635af894f4168fc267dee05f86c7be5d04e44698f40466478551d0d8e
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