Instructions to use nhungphammmmm/41ea2537-6207-4681-8852-7681e5133d51 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/41ea2537-6207-4681-8852-7681e5133d51 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/41ea2537-6207-4681-8852-7681e5133d51") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nhungphammmmm/41ea2537-6207-4681-8852-7681e5133d51: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/nhungphammmmm/41ea2537-6207-4681-8852-7681e5133d51/resolve/main/training_args.bin
- Command line
-
hf download hf://nhungphammmmm/41ea2537-6207-4681-8852-7681e5133d51/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nhungphammmmm/41ea2537-6207-4681-8852-7681e5133d51/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 4162abd4b941b5bc12115694645f0315bf6e834b36890e5a8a08da8455e8215e
- Size of remote file:
- 6.78 kB
- SHA256:
- cfc949bbbb21dfba4383bc5f30ab02d2c9cfaa9b563c1ff6109db085b1b6363b
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