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:
- de9aa9b2288f05bca323d435545f0e408007e8103ba1890534b4d601e6cc9b1c
- Size of remote file:
- 52.5 MB
- SHA256:
- 0bacd28a52a6736071a50e959adae7fc38a0dc62b697433fbf73d1580a475494
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