Instructions to use vdos/7bc33c08-cbde-4887-bc29-25e02fb2e8e0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vdos/7bc33c08-cbde-4887-bc29-25e02fb2e8e0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-2-Mistral-7B-DPO") model = PeftModel.from_pretrained(base_model, "vdos/7bc33c08-cbde-4887-bc29-25e02fb2e8e0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c44aa7b5ba2f6ba9f6e846ec4141e53e846dec19c929bbf9926ee7a85f77596b
- Size of remote file:
- 336 MB
- SHA256:
- 2e5aec4e8d110a810345333ddeb11976d50a436e08fc1524dc56dba6305d83c1
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