Instructions to use ErrorAI/90ee4c03-57df-470a-b1bd-f73ba5faf256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ErrorAI/90ee4c03-57df-470a-b1bd-f73ba5faf256 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B") model = PeftModel.from_pretrained(base_model, "ErrorAI/90ee4c03-57df-470a-b1bd-f73ba5faf256") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ErrorAI/90ee4c03-57df-470a-b1bd-f73ba5faf256: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/ErrorAI/90ee4c03-57df-470a-b1bd-f73ba5faf256/resolve/main/training_args.bin
- Command line
-
hf download hf://ErrorAI/90ee4c03-57df-470a-b1bd-f73ba5faf256/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ErrorAI/90ee4c03-57df-470a-b1bd-f73ba5faf256/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- f0b483cb4777b0e4450f5895726727d6a06f2073e3dbd54e9672f76a7b9a7217
- Size of remote file:
- 6.78 kB
- SHA256:
- a5bf3a8bd9a52db9c553d3903cd2ebe4d336ef5bc7211f525862f48b0c20e513
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