Instructions to use denbeo/eefc7385-a284-425d-877c-0dc9f11ebbf3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use denbeo/eefc7385-a284-425d-877c-0dc9f11ebbf3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("jingyeom/seal3.1.6n_7b") model = PeftModel.from_pretrained(base_model, "denbeo/eefc7385-a284-425d-877c-0dc9f11ebbf3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 465f62b67ce120c0829f466786700e006d45aaa1e5c3e8cb5c6696c9dbca5020
- Size of remote file:
- 6.78 kB
- SHA256:
- 567617ad83eee496539231effb5de2683a8b45d9f72b8d2a08d13b9364b39fe6
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