Image-to-Text
Transformers
Safetensors
Portuguese
vision-encoder-decoder
image-text-to-text
Eval Results (legacy)
Instructions to use laicsiifes/swin-distilbertimbau with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use laicsiifes/swin-distilbertimbau 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="laicsiifes/swin-distilbertimbau")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("laicsiifes/swin-distilbertimbau") model = AutoModelForMultimodalLM.from_pretrained("laicsiifes/swin-distilbertimbau", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 337 Bytes
c59e74d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"image_mean": [
0.485,
0.456,
0.406
],
"image_processor_type": "ViTImageProcessor",
"image_std": [
0.229,
0.224,
0.225
],
"resample": 3,
"rescale_factor": 0.00392156862745098,
"size": {
"height": 224,
"width": 224
}
}
|