Instructions to use 0x1202/1e286385-6766-46bd-b53d-c079e3d4bcb0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 0x1202/1e286385-6766-46bd-b53d-c079e3d4bcb0 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, "0x1202/1e286385-6766-46bd-b53d-c079e3d4bcb0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 084a0af2082f302fddfeb36a1acbd612e6ab239972db3f862423bbbad19efdda
- Size of remote file:
- 6.84 kB
- SHA256:
- 580f134035628e0b4b7626b7de1408a5ecd65bf2a2aadfd9e70d667482ec9a81
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