Instructions to use arcwarden46/a7993d21-95a2-4b65-89bd-e2eb52aef2c7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arcwarden46/a7993d21-95a2-4b65-89bd-e2eb52aef2c7 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, "arcwarden46/a7993d21-95a2-4b65-89bd-e2eb52aef2c7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7803097b3d1ad066ca4fa66a684fd66998d1d461e5340d9c392ad0f02ad33491
- Size of remote file:
- 671 MB
- SHA256:
- 99c155776ea237a6344dc37b71c8c0b7dfcdfe657e216f4836560eb321909a18
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