Instructions to use google/gemma-4-E4B-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/gemma-4-E4B-it with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/gemma-4-E4B-it") model = AutoModelForMultimodalLM.from_pretrained("google/gemma-4-E4B-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- AMD Developer Cloud
Download tokenizer.json from google/gemma-4-E4B-it: direct link, hf CLI and curl.
- Browser
- Download file 32.2 MB
-
https://huggingface.co/google/gemma-4-E4B-it/resolve/main/tokenizer.json
- Command line
-
hf download hf://google/gemma-4-E4B-it/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/google/gemma-4-E4B-it/resolve/main/tokenizer.json
32.2 MB
- Xet hash:
- 521d9f0390742dc5890fc5f92931dae9bdda70191dd92fd0f551fae33d8ded1c
- Size of remote file:
- 32.2 MB
- SHA256:
- 91d9cf86906f78e197021fda88214d448e5c120665d0243a8e776e046986c6bc
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