Instructions to use zera09/gemma_dpo_chat_long_context with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zera09/gemma_dpo_chat_long_context with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zera09/gemma_dpo_chat_long_context", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from zera09/gemma_dpo_chat_long_context: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/zera09/gemma_dpo_chat_long_context/resolve/main/tokenizer.json
- Command line
-
hf download hf://zera09/gemma_dpo_chat_long_context/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/zera09/gemma_dpo_chat_long_context/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- fe27aaac9a00fffcb0d001021b4a65051ba530a7b43c0e8e025ad754e792083f
- Size of remote file:
- 34.4 MB
- SHA256:
- 95a6ecc0c8b61e4f65249a9da9cf0809371813500854cfee2848a793cbdfb19b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.