Instructions to use prxy5605/54d92ce6-cfa8-4a3f-9c14-e48782ee5a64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5605/54d92ce6-cfa8-4a3f-9c14-e48782ee5a64 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-v0.3") model = PeftModel.from_pretrained(base_model, "prxy5605/54d92ce6-cfa8-4a3f-9c14-e48782ee5a64") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b056aa31e5072b892e361c1a603acc65f1e6b064e78670cff2f190079760d7c
- Size of remote file:
- 671 MB
- SHA256:
- b6a4cd00109bd74fc3916565a6ad2e838e6651d63927c7797eef3169a38db4ef
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