Instructions to use ShethArihant/codegemma-7b-it_sft_2-epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShethArihant/codegemma-7b-it_sft_2-epochs with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShethArihant/codegemma-7b-it_sft_2-epochs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ShethArihant/codegemma-7b-it_sft_2-epochs: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/ShethArihant/codegemma-7b-it_sft_2-epochs/resolve/main/tokenizer.json
- Command line
-
hf download hf://ShethArihant/codegemma-7b-it_sft_2-epochs/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ShethArihant/codegemma-7b-it_sft_2-epochs/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- 75acb08b96fe861a82764a4e150d5c6d700f90723d3a9c5d9d508eb52b36d1b2
- Size of remote file:
- 34.4 MB
- SHA256:
- d964a2c8346d40f95791533eae48730d5f163c2e65fd16333560fd3e661df318
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.