Instructions to use daniel40/35542c81-013f-4ffe-ae65-f9bd705b979e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/35542c81-013f-4ffe-ae65-f9bd705b979e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-llama-2-7b") model = PeftModel.from_pretrained(base_model, "daniel40/35542c81-013f-4ffe-ae65-f9bd705b979e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9277e382f9cad898cc23bec881121475e7a008987429c51bd4b66f3bba3faaa4
- Size of remote file:
- 844 MB
- SHA256:
- 6ec512f1c730f39cf9781df241bc9c570d4f43efbe1c5d90d4b009e36e474c5e
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