Instructions to use 0x1202/67a992f4-04ea-4b25-84a9-4fc258302d90 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 0x1202/67a992f4-04ea-4b25-84a9-4fc258302d90 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "0x1202/67a992f4-04ea-4b25-84a9-4fc258302d90") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from 0x1202/67a992f4-04ea-4b25-84a9-4fc258302d90: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/0x1202/67a992f4-04ea-4b25-84a9-4fc258302d90/resolve/e1a3232bedf8bcb74c4c0d668edab0c97bd62879/training_args.bin
- Command line
-
hf download hf://0x1202/67a992f4-04ea-4b25-84a9-4fc258302d90@e1a3232bedf8bcb74c4c0d668edab0c97bd62879/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/0x1202/67a992f4-04ea-4b25-84a9-4fc258302d90/resolve/e1a3232bedf8bcb74c4c0d668edab0c97bd62879/training_args.bin
6.84 kB
- Xet hash:
- e285f00a77c615903ac48c983355da5c0ed0fa31c05d6c98d0fd51bb88200c52
- Size of remote file:
- 6.84 kB
- SHA256:
- 5bea1e59705a3b763342715684ed91bd9423c3a8a8f93a9747bd599ea5235ac9
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