Instructions to use prxy5606/94d5efbe-a432-4669-840f-c14155c183bd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5606/94d5efbe-a432-4669-840f-c14155c183bd 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, "prxy5606/94d5efbe-a432-4669-840f-c14155c183bd") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from prxy5606/94d5efbe-a432-4669-840f-c14155c183bd: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/prxy5606/94d5efbe-a432-4669-840f-c14155c183bd/resolve/main/training_args.bin
- Command line
-
hf download hf://prxy5606/94d5efbe-a432-4669-840f-c14155c183bd/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/prxy5606/94d5efbe-a432-4669-840f-c14155c183bd/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- 6a01a1eb76e81bf9549779c6b000a18d2e2caac0207de788c8d5e4d1de6c09d7
- Size of remote file:
- 6.84 kB
- SHA256:
- c1c1f841c0c4e88c29410ba7f0c65e42802fcaa5d85ec79b65518504eb234ff8
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