Instructions to use DeepDream2045/2f2346fd-8710-4f0c-b9cb-88c34380c6cd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/2f2346fd-8710-4f0c-b9cb-88c34380c6cd 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, "DeepDream2045/2f2346fd-8710-4f0c-b9cb-88c34380c6cd") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DeepDream2045/2f2346fd-8710-4f0c-b9cb-88c34380c6cd: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/DeepDream2045/2f2346fd-8710-4f0c-b9cb-88c34380c6cd/resolve/main/training_args.bin
- Command line
-
hf download hf://DeepDream2045/2f2346fd-8710-4f0c-b9cb-88c34380c6cd/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DeepDream2045/2f2346fd-8710-4f0c-b9cb-88c34380c6cd/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- 3b20a33261615227665b376c5d467d31a1ff737b14e8184a88042904dba1915c
- Size of remote file:
- 6.84 kB
- SHA256:
- bcd83fee688393682da2167f88a74cfe55a323e87af9aa09cf369a025a988763
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