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:
- 8437673afa40eb8164741368cea65aeaf6fe4a8fed72e9e4bc09538e6a67e0f6
- Size of remote file:
- 33.4 MB
- SHA256:
- 4201e7b539fef153e1fe3058db39e600717b3323fee690d37e92fa52fb2b5af2
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