Instructions to use harshbhatt7585/arithmetic-king-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use harshbhatt7585/arithmetic-king-1b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B-Instruct") model = PeftModel.from_pretrained(base_model, "harshbhatt7585/arithmetic-king-1b") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from harshbhatt7585/arithmetic-king-1b: direct link, hf CLI and curl.
- Browser
- Download file 7.76 kB
-
https://huggingface.co/harshbhatt7585/arithmetic-king-1b/resolve/main/training_args.bin
- Command line
-
hf download hf://harshbhatt7585/arithmetic-king-1b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/harshbhatt7585/arithmetic-king-1b/resolve/main/training_args.bin
7.76 kB
- Xet hash:
- d4b7a15eb92f3d73de49bd87b1a32446573abc3d65faa0d40181f503b0901c84
- Size of remote file:
- 7.76 kB
- SHA256:
- c3ca4db76280e6a3b517c56eadb4b2384f410558a59729098ad789fd3c95d839
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