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:
- 8c338b0a5add989635048d60b54624fd14b9320ed41ae22acc879dfcf40171eb
- Size of remote file:
- 160 MB
- SHA256:
- 9c593c6848b5627988047573356ab734f267979f75022189b7e0e5351bef5172
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