Image-to-Text
Transformers
PyTorch
Safetensors
vision-encoder-decoder
image-text-to-text
image-captioning
Instructions to use bipin/image-caption-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bipin/image-caption-generator 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="bipin/image-caption-generator")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("bipin/image-caption-generator") model = AutoModelForMultimodalLM.from_pretrained("bipin/image-caption-generator") - Notebooks
- Google Colab
- Kaggle
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README.md
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tags:
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model-index:
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- name: image-caption-generator
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results: []
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tags:
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- image-classification
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- image-captioning
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model-index:
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- name: image-caption-generator
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results: []
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