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:
- 2be7c5d8fdd0ff21ac2a70f7f739e674f14868c3f2207ae4ac003908b545b3a0
- Size of remote file:
- 263 MB
- SHA256:
- f9264abb64e701a99327c536541017bd1241db1b3ec8c924386e29fd23a15ff4
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