Instructions to use nttx/b68b8a84-63b9-49a6-94ce-c92b2c5ad284 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/b68b8a84-63b9-49a6-94ce-c92b2c5ad284 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("dltjdgh0928/test_instruction") model = PeftModel.from_pretrained(base_model, "nttx/b68b8a84-63b9-49a6-94ce-c92b2c5ad284") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb5f5d57a304150b11ee338de80a08336780fdb257f6b2db4f7012282b2b2e2a
- Size of remote file:
- 6.78 kB
- SHA256:
- 8e8a40af75e013a436ae35503580863a944a16e243e68200701ad1ce122c10c9
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