Instructions to use kokovova/2a42f8b7-2545-4438-a6f2-98abdf5b3b05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kokovova/2a42f8b7-2545-4438-a6f2-98abdf5b3b05 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Theta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "kokovova/2a42f8b7-2545-4438-a6f2-98abdf5b3b05") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8cac786cfb30b9a7d8018937039001330c67984f18787273a43c5911517214df
- Size of remote file:
- 2.19 GB
- SHA256:
- c96f8601cf9a0388bc1fe9d4fc990720fb4099411dd17b7b58cb08adb496cb84
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