Instructions to use jesbu1/robometer-4b-lora-libero2k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jesbu1/robometer-4b-lora-libero2k with Transformers:
# Load model directly from transformers import AutoProcessor, RBM processor = AutoProcessor.from_pretrained("jesbu1/robometer-4b-lora-libero2k") model = RBM.from_pretrained("jesbu1/robometer-4b-lora-libero2k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fe387e0094a0d845639bc64480862c6562a138e475aafa1d86fef549f25e1e4
- Size of remote file:
- 5.78 kB
- SHA256:
- 497b3db589389b29ea67afd5b49cf95e75ebbc906c55ea35c650aa59ad999629
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