Instructions to use daniel40/247851d7-4271-499b-b3e6-f440cb254f99 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/247851d7-4271-499b-b3e6-f440cb254f99 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, "daniel40/247851d7-4271-499b-b3e6-f440cb254f99") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 191f78e9d2bef2946357ff06a6c4ae3341eca65f38bfd0e37ad462f4ed07fe42
- Size of remote file:
- 80.1 MB
- SHA256:
- ce632c4eb02bfd012126fde7e0993f31e02bc0cf9e100a05427acc6addbcfeb0
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