Instructions to use Ramkumar-AI-developer/image_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ramkumar-AI-developer/image_model with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="Ramkumar-AI-developer/image_model")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Ramkumar-AI-developer/image_model") model = AutoModelForImageTextToText.from_pretrained("Ramkumar-AI-developer/image_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09149de7676cf7c0707aa3382872ac6c733472ae00f05ba4beb639ea10a61bb1
- Size of remote file:
- 990 MB
- SHA256:
- 41a358c373bb50419c1fc5dad8c40a283bf4b70001cba90a7624752cc1e1a7f7
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