Instructions to use datlaaaaaaa/9536ed21-732c-48c4-a016-44b37e59099d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use datlaaaaaaa/9536ed21-732c-48c4-a016-44b37e59099d 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, "datlaaaaaaa/9536ed21-732c-48c4-a016-44b37e59099d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b38f5d94790950c763c58467a237c95b1853db289ed5a7522af46786a977c89d
- Size of remote file:
- 80 MB
- SHA256:
- a8fb166b95db88ed5cfdbce39e9010d30111120823c314c9d002dc92f5ee0c04
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