Instructions to use teslalord/open-orca-instruct-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use teslalord/open-orca-instruct-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Open-Orca/OpenOrca-Platypus2-13B") model = PeftModel.from_pretrained(base_model, "teslalord/open-orca-instruct-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 851045e561328bbabfa9b7b2eb91919d5e7e92cac866fa3ae719c3ab512f5b27
- Size of remote file:
- 3.42 GB
- SHA256:
- a72d089396d70420f85c442f4061326a76faa64c49a3fcf93435b7be82ba99c9
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