Instructions to use chomeed/robometer-4b-lora-anubis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chomeed/robometer-4b-lora-anubis with Transformers:
# Load model directly from transformers import AutoProcessor, RBM processor = AutoProcessor.from_pretrained("chomeed/robometer-4b-lora-anubis") model = RBM.from_pretrained("chomeed/robometer-4b-lora-anubis") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94564801dbe1d02312cafb1b8338e5b085bedb43c97a101363912e521e451ad6
- Size of remote file:
- 5.91 kB
- SHA256:
- 388e0903520a68de1c0560d8c31af0fcfb035eaccd282837bbda0347e2e2a806
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