Instructions to use gemmathon/gemma-2b-it-qlora-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gemmathon/gemma-2b-it-qlora-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gemmathon/gemma-2b-it-qlora-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from gemmathon/gemma-2b-it-qlora-v2: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/gemmathon/gemma-2b-it-qlora-v2/resolve/main/tokenizer.json
- Command line
-
hf download hf://gemmathon/gemma-2b-it-qlora-v2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/gemmathon/gemma-2b-it-qlora-v2/resolve/main/tokenizer.json
17.5 MB
- Xet hash:
- 30632fb5c161d80bd714779f61de2cd3c3af99003e9980ae56323d7008e228ae
- Size of remote file:
- 17.5 MB
- SHA256:
- 62790c37c4bcacf978e04d378835df3c271f0775a1ce49d352561b91ff7b6425
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