Instructions to use aisingapore/Gemma-SEA-LION-v4.5-E2B-IT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aisingapore/Gemma-SEA-LION-v4.5-E2B-IT with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("aisingapore/Gemma-SEA-LION-v4.5-E2B-IT") model = AutoModelForMultimodalLM.from_pretrained("aisingapore/Gemma-SEA-LION-v4.5-E2B-IT", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 277d7f5532502773a77d867a1fbcf200ce1e09162bb143e3c001415141e6e8d7
- Size of remote file:
- 299 kB
- SHA256:
- ace733e8e13f95771d2b0b1a5b40151cc6f2f58bd37a6487b02f8387f6b29adf
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