Instructions to use filipesantoscv11/2241d091-90ab-41a5-bb53-e990f6c1367e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use filipesantoscv11/2241d091-90ab-41a5-bb53-e990f6c1367e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "filipesantoscv11/2241d091-90ab-41a5-bb53-e990f6c1367e") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from filipesantoscv11/2241d091-90ab-41a5-bb53-e990f6c1367e: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/filipesantoscv11/2241d091-90ab-41a5-bb53-e990f6c1367e/resolve/31a3e85e5302ea8f32f3a8bbc81c6c321ab6fa19/training_args.bin
- Command line
-
hf download hf://filipesantoscv11/2241d091-90ab-41a5-bb53-e990f6c1367e@31a3e85e5302ea8f32f3a8bbc81c6c321ab6fa19/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/filipesantoscv11/2241d091-90ab-41a5-bb53-e990f6c1367e/resolve/31a3e85e5302ea8f32f3a8bbc81c6c321ab6fa19/training_args.bin
6.78 kB
- Xet hash:
- d973215371264501c490d3c50e5351b856581d19e052c2c8a6210cb456038554
- Size of remote file:
- 6.78 kB
- SHA256:
- 0a48e795b66b9ae7a6986a91af115b5146e76d18f004b0f8cc864549ce696c19
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