Instructions to use nttx/b40b4784-1d5e-4ad2-bd2b-cb172f427f06 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/b40b4784-1d5e-4ad2-bd2b-cb172f427f06 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("The-matt/llama2_ko-7b_distinctive-snowflake-182_1060") model = PeftModel.from_pretrained(base_model, "nttx/b40b4784-1d5e-4ad2-bd2b-cb172f427f06") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 337925369a3456288ecff4e60a237d3a42c2ef8e6a217f84479eef5665da89e4
- Size of remote file:
- 6.84 kB
- SHA256:
- d9fe5833356216af3d21c14b7609b20fff63175a1ef61971533f65fb232662de
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