Instructions to use aleegis/d3531ad9-a1cb-4904-9994-ddb985e19ca3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis/d3531ad9-a1cb-4904-9994-ddb985e19ca3 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, "aleegis/d3531ad9-a1cb-4904-9994-ddb985e19ca3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c70d808e49a944c73b009167346c531c711faf5fe3a15324c3be1382fc16ddc8
- Size of remote file:
- 6.78 kB
- SHA256:
- 15b30d44a5b64f94a961e13511ba926d24903d69840ab19fd9aec52e3123ba37
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