Instructions to use tsangkos/gemma-2-2B-it-thinking-function_calling-shift-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tsangkos/gemma-2-2B-it-thinking-function_calling-shift-V1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "tsangkos/gemma-2-2B-it-thinking-function_calling-shift-V1") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tsangkos/gemma-2-2B-it-thinking-function_calling-shift-V1: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/tsangkos/gemma-2-2B-it-thinking-function_calling-shift-V1/resolve/main/training_args.bin
- Command line
-
hf download hf://tsangkos/gemma-2-2B-it-thinking-function_calling-shift-V1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tsangkos/gemma-2-2B-it-thinking-function_calling-shift-V1/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- bcdc7beef705d66184f0dd814544cdcfa37e0ca67dd472d627b3ea26de2e861a
- Size of remote file:
- 5.62 kB
- SHA256:
- c72bf487a157a53ad283e0a40b21863287492cf1dc408245b7977832c64231fa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.