Instructions to use Bepemin/bcb0a554-c9d8-4a35-9d51-4c275d524451 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Bepemin/bcb0a554-c9d8-4a35-9d51-4c275d524451 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, "Bepemin/bcb0a554-c9d8-4a35-9d51-4c275d524451") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05e497d954943c909d29a6fd0fa34df6db6de0c5151ddf6815912a692c8db3d2
- Size of remote file:
- 84 MB
- SHA256:
- c923a4e56b8f489526c04489ef37d31bb8f21e5cb99591d4a05a20961823f8c9
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