Instructions to use kk-aivio/e5a3dbca-3fd7-4891-9d2c-9f4c2def32c3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/e5a3dbca-3fd7-4891-9d2c-9f4c2def32c3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-Instruct-hf") model = PeftModel.from_pretrained(base_model, "kk-aivio/e5a3dbca-3fd7-4891-9d2c-9f4c2def32c3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 648c054925520829d8a1c5fe97a5d5b449d26817c3f06f8fc94438b7845785d2
- Size of remote file:
- 320 MB
- SHA256:
- 501ffe1a99d36b9333983f3a051aa16dde0838ad5e8f97667f8162dd6a8f6aa4
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