Instructions to use ayushk4/smol-gpt4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayushk4/smol-gpt4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="ayushk4/smol-gpt4")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("ayushk4/smol-gpt4") model = AutoModelForMultimodalLM.from_pretrained("ayushk4/smol-gpt4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71fde0e6297967129b73cd53866baea1b291076677015f5c12b599badac351de
- Size of remote file:
- 210 MB
- SHA256:
- 7e21b47c9d82339ef2a4db280ebf825b7d0d0faf6e02edbe6df89f5c8c085aa0
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