Instructions to use luntomas/gemma-3-4b-it-CalRes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luntomas/gemma-3-4b-it-CalRes with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("luntomas/gemma-3-4b-it-CalRes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b83a0ce214536b02bd2d05c8cd53f1ea2f1156342dc5df0fc15842709ded5d2a
- Size of remote file:
- 13.1 MB
- SHA256:
- 8e956b8dafc8c9f55690c519db94ed408a7aa7b811741fbd225fa12815cb1b50
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