Instructions to use stacklok/gemma-3-27b-it-think-tools with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stacklok/gemma-3-27b-it-think-tools with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("stacklok/gemma-3-27b-it-think-tools", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from stacklok/gemma-3-27b-it-think-tools: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/stacklok/gemma-3-27b-it-think-tools/resolve/main/tokenizer.json
- Command line
-
hf download hf://stacklok/gemma-3-27b-it-think-tools/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/stacklok/gemma-3-27b-it-think-tools/resolve/main/tokenizer.json
33.4 MB
- Xet hash:
- 54855f2b4ac46f89e679eb68b540c8757c345c45c466432e8bb0de4ed7add5db
- Size of remote file:
- 33.4 MB
- SHA256:
- cde09914243ae10291069c2a6051fc9862f6b831c7f2552896d121b1934e5383
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