Instructions to use datlaaaaaaa/5f9892b9-7528-4ea0-b06e-90e331780ec9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use datlaaaaaaa/5f9892b9-7528-4ea0-b06e-90e331780ec9 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, "datlaaaaaaa/5f9892b9-7528-4ea0-b06e-90e331780ec9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dcca63de19a36134c86c1e4ecd736684b5a1474da26433876b9ea4a3ef98863d
- Size of remote file:
- 84 MB
- SHA256:
- 430a32f3d23d7d98e56b3bc5e903017db95db448f64f956200d31ad6487d1709
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