Instructions to use deepakachu/rsicd_image_captioning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepakachu/rsicd_image_captioning 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="deepakachu/rsicd_image_captioning")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("deepakachu/rsicd_image_captioning") model = AutoModelForImageTextToText.from_pretrained("deepakachu/rsicd_image_captioning") - Notebooks
- Google Colab
- Kaggle
File size: 136 Bytes
50dfa12 | 1 2 3 4 5 6 7 8 | {
"_from_model_config": true,
"bos_token_id": 101,
"eos_token_id": 102,
"pad_token_id": 0,
"transformers_version": "4.37.0"
}
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