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:
- 47f397c5a2d53d2bcf8056bc91625e902efbfa775ef8ff6d30c3daa72c0d712f
- Size of remote file:
- 1.81 MB
- SHA256:
- 521b84422aa7775701d4955633ee76c887f796afbb9e5aae3cbe7d622a7c003b
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