Image-to-Text
Transformers
Safetensors
Vietnamese
blip
image-text-to-text
Generated from Trainer
xedap
pricing
Instructions to use hquan21/ai-bike-pricing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hquan21/ai-bike-pricing 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="hquan21/ai-bike-pricing")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("hquan21/ai-bike-pricing") model = AutoModelForMultimodalLM.from_pretrained("hquan21/ai-bike-pricing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72b05eca4756a0edf064ed233f7c83ba1035577cc76bb1276965e930ef536062
- Size of remote file:
- 5.2 kB
- SHA256:
- f8c9a23cf8230307224bd659e8b2465533f559ec47dac457ad33552cb1ac65e4
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