Instructions to use INVERTO/blip2-cub200-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use INVERTO/blip2-cub200-finetuned with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("INVERTO/blip2-cub200-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 68 Bytes
c9f75ac | 1 2 3 4 5 | {
"num_query_tokens": 32,
"processor_class": "Blip2Processor"
}
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