Instructions to use jaydee29/gemma2-2b-it-s1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaydee29/gemma2-2b-it-s1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jaydee29/gemma2-2b-it-s1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from jaydee29/gemma2-2b-it-s1: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/jaydee29/gemma2-2b-it-s1/resolve/main/tokenizer.json
- Command line
-
hf download hf://jaydee29/gemma2-2b-it-s1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/jaydee29/gemma2-2b-it-s1/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- c394442d71cd7292df139a18d826b32a9a29230b2e0d2714ebe11d50aebbdb47
- Size of remote file:
- 34.4 MB
- SHA256:
- ec53a62f737dd417417721d2560d5e7d6df714fc582be24331b436c25b625a3a
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