Instructions to use smjain/api_gemma_reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use smjain/api_gemma_reasoning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-7b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "smjain/api_gemma_reasoning") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from smjain/api_gemma_reasoning: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/smjain/api_gemma_reasoning/resolve/main/training_args.bin
- Command line
-
hf download hf://smjain/api_gemma_reasoning/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/smjain/api_gemma_reasoning/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 6ec3353d1e2106b48c539d10d8b4fd0d0f7dcbd3996498b79225a86549c86c65
- Size of remote file:
- 5.43 kB
- SHA256:
- e823024266c7d3e8833b1cfdec80e898339cfcf9067bc43784b271f1d250320c
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