Instructions to use datlaaaaaaa/1b6818e0-989e-432e-8013-054a2fec4ab5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use datlaaaaaaa/1b6818e0-989e-432e-8013-054a2fec4ab5 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/1b6818e0-989e-432e-8013-054a2fec4ab5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc751c7444ab91331ff0f3f8555d8aeee47f59dc1b4fd451c11218afeca8f985
- Size of remote file:
- 84 MB
- SHA256:
- d597946b121244df4783fc8c882b73cb3b25684d7f78c87ebfd79714df820754
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