Instructions to use dada22231/def46a41-c837-4f28-8ada-c302c06a06bc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/def46a41-c837-4f28-8ada-c302c06a06bc 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, "dada22231/def46a41-c837-4f28-8ada-c302c06a06bc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ef3eeb3b98a2ed6049ab22744e353b30044c8bc95187f922ac7ace768423e05
- Size of remote file:
- 320 MB
- SHA256:
- 2b08c9a645ec8dd5088bebbffe1b48788d916acdd9b294181da7060ca86c2c3a
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