Instructions to use error577/84afe1d4-4257-4eb1-972d-6df752fb4b25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/84afe1d4-4257-4eb1-972d-6df752fb4b25 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "error577/84afe1d4-4257-4eb1-972d-6df752fb4b25") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from error577/84afe1d4-4257-4eb1-972d-6df752fb4b25: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/error577/84afe1d4-4257-4eb1-972d-6df752fb4b25/resolve/main/training_args.bin
- Command line
-
hf download hf://error577/84afe1d4-4257-4eb1-972d-6df752fb4b25/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/error577/84afe1d4-4257-4eb1-972d-6df752fb4b25/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- f9ac509dce128da354232946e4ab18d0b9b234995d4e497a1f557519f625e1c6
- Size of remote file:
- 6.78 kB
- SHA256:
- 4639c3cf2b7b8ba8a781e1f6396ad15dbe5a0ad53d8a6d3acd9cc63f208c87a1
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