Instructions to use Aivesa/91cc74e2-da3e-49d3-b1f2-e2b607dc1d24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Aivesa/91cc74e2-da3e-49d3-b1f2-e2b607dc1d24 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("peft-internal-testing/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "Aivesa/91cc74e2-da3e-49d3-b1f2-e2b607dc1d24") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Aivesa/91cc74e2-da3e-49d3-b1f2-e2b607dc1d24: direct link, hf CLI and curl.
- Browser
- Download file 6.9 kB
-
https://huggingface.co/Aivesa/91cc74e2-da3e-49d3-b1f2-e2b607dc1d24/resolve/c7a6311abaf227026c1c207d5c6335a65bb8a73c/training_args.bin
- Command line
-
hf download hf://Aivesa/91cc74e2-da3e-49d3-b1f2-e2b607dc1d24@c7a6311abaf227026c1c207d5c6335a65bb8a73c/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/Aivesa/91cc74e2-da3e-49d3-b1f2-e2b607dc1d24/resolve/c7a6311abaf227026c1c207d5c6335a65bb8a73c/training_args.bin
6.9 kB
- Xet hash:
- 67b3cd3c020450b8f7e6f723dd37fef2d38f7954d880030c598e870f3a5483b7
- Size of remote file:
- 6.9 kB
- SHA256:
- ee4463f3147100459a6f095e4670b8d3106d942f0c91dd8e59de918842c809d4
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