Instructions to use dada22231/7808ba82-893b-42d8-9d9e-cc69fa7c02d9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/7808ba82-893b-42d8-9d9e-cc69fa7c02d9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-1.5B") model = PeftModel.from_pretrained(base_model, "dada22231/7808ba82-893b-42d8-9d9e-cc69fa7c02d9") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from dada22231/7808ba82-893b-42d8-9d9e-cc69fa7c02d9: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/dada22231/7808ba82-893b-42d8-9d9e-cc69fa7c02d9/resolve/60bd0950127b7d2179370723b758b4401da0476e/last-checkpoint/training_args.bin
- Command line
-
hf download hf://dada22231/7808ba82-893b-42d8-9d9e-cc69fa7c02d9@60bd0950127b7d2179370723b758b4401da0476e/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dada22231/7808ba82-893b-42d8-9d9e-cc69fa7c02d9/resolve/60bd0950127b7d2179370723b758b4401da0476e/last-checkpoint/training_args.bin
6.84 kB
- Xet hash:
- 24b1bc7d21874b9e8ef81f2bbcd2229b98e985908a682427ab6cfa63003a93c6
- Size of remote file:
- 6.84 kB
- SHA256:
- a231a426292ff9e4f7478d2e15c89b4edf8629447915683e8a9b80299268b646
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