Instructions to use ErrorAI/64b89272-0dfd-4c5c-a7a8-c91845a49d35 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ErrorAI/64b89272-0dfd-4c5c-a7a8-c91845a49d35 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-0.5B") model = PeftModel.from_pretrained(base_model, "ErrorAI/64b89272-0dfd-4c5c-a7a8-c91845a49d35") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ErrorAI/64b89272-0dfd-4c5c-a7a8-c91845a49d35: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/ErrorAI/64b89272-0dfd-4c5c-a7a8-c91845a49d35/resolve/ecdcb0a0f417bce85758df2918120deb7570ba2c/training_args.bin
- Command line
-
hf download hf://ErrorAI/64b89272-0dfd-4c5c-a7a8-c91845a49d35@ecdcb0a0f417bce85758df2918120deb7570ba2c/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/ErrorAI/64b89272-0dfd-4c5c-a7a8-c91845a49d35/resolve/ecdcb0a0f417bce85758df2918120deb7570ba2c/training_args.bin
6.78 kB
- Xet hash:
- 03ee71686da69a76605c9cc3b32eff9a0af15c9355d17d4ea82bf3ab37d96480
- Size of remote file:
- 6.78 kB
- SHA256:
- ff6c78eb0b17ab2fb80f541c118378f7a809ada74a6f465f94d5bf2dfe2a03d4
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