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:
- 3df68b2a2879185e38f5b723e17f7a18805caef692f16b3a0dc5bb3163da7624
- Size of remote file:
- 7 GB
- SHA256:
- bf3f82276fadcf932a15e28471ef76e3104afd91207a83c43872882b40188d9f
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