Instructions to use daniel40/4a2e8032-7e64-43a1-9e00-03b50c2ba878 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/4a2e8032-7e64-43a1-9e00-03b50c2ba878 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "daniel40/4a2e8032-7e64-43a1-9e00-03b50c2ba878") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89bb7b97681dd8e8e169a9a5fa0c2708738e003063a63efc03b530d93f2d05f5
- Size of remote file:
- 336 MB
- SHA256:
- 3e116dd3b4e59c4538f45ebbb4a836be6513d4e35ee1154ae1217d591b5d57e7
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