Instructions to use Alphatao/a8d7b1bb-b67f-4ff0-ba66-a04d7053d388 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Alphatao/a8d7b1bb-b67f-4ff0-ba66-a04d7053d388 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, "Alphatao/a8d7b1bb-b67f-4ff0-ba66-a04d7053d388") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e675aaa74eee1571f15e3936e75f31f6e2bd805f222e631f030f22f8bb0199f0
- Size of remote file:
- 168 MB
- SHA256:
- a440b6f3a065e0c1aed3707d23a693318800bc8c5441e0e0a0fc3c1ddc598033
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