Instructions to use prxy5606/428d8350-0465-4f57-8937-b6feffa2b6cf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5606/428d8350-0465-4f57-8937-b6feffa2b6cf with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b") model = PeftModel.from_pretrained(base_model, "prxy5606/428d8350-0465-4f57-8937-b6feffa2b6cf") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from prxy5606/428d8350-0465-4f57-8937-b6feffa2b6cf: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/prxy5606/428d8350-0465-4f57-8937-b6feffa2b6cf/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://prxy5606/428d8350-0465-4f57-8937-b6feffa2b6cf/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/prxy5606/428d8350-0465-4f57-8937-b6feffa2b6cf/resolve/main/last-checkpoint/training_args.bin
6.84 kB
- Xet hash:
- 9652661258c861aba8c61d7a20528a380780d48459f5f158b22b3857a687e213
- Size of remote file:
- 6.84 kB
- SHA256:
- 4c9b90c5761ddbb35b83ff64adc39a53bb143a5ce7690e121793594ce720f299
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