Image-to-Text
Transformers
Safetensors
Chinese
ananda
text-generation
ocr
htr
vision-language-model
historical-documents
chinese
classical-chinese
custom_code
Instructions to use badianeai/AnandaSky with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use badianeai/AnandaSky 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="badianeai/AnandaSky", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("badianeai/AnandaSky", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 748 Bytes
a1624c4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | {
"processor_class": "AnandaProcessor",
"auto_map": {
"AutoProcessor": "inference_processor.AnandaProcessor"
},
"image_processor": {
"image_processor_type": "AnandaImageProcessor",
"processor_class": "AnandaProcessor",
"auto_map": {
"AutoImageProcessor": "inference_processor.AnandaImageProcessor",
"AutoProcessor": "inference_processor.AnandaProcessor"
},
"patch_size": 10,
"merge_factor": 1,
"do_convert_rgb": true,
"do_rescale": true,
"rescale_factor": 0.00392156862745098,
"do_normalize": true,
"image_mean": [
0.52176176,
0.52181225,
0.52352523
],
"image_std": [
0.33833799,
0.33939351,
0.33906013
],
"pad_value": 0.0
}
} |