Instructions to use 1-lock/903fab7b-8eba-4faa-8dda-af1bd72faab9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/903fab7b-8eba-4faa-8dda-af1bd72faab9 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, "1-lock/903fab7b-8eba-4faa-8dda-af1bd72faab9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c0318cef98fd97b0b2dd29d9cfd847a20738b5bc101620e721ac4f296dc68c4
- Size of remote file:
- 15 kB
- SHA256:
- 5e73a86c6d8f4aa710ea6e89286bf53a5b46e4f5c5572a362c45fa7ecebb20fa
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