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
Download processor_config.json from badianeai/AnandaSky: direct link, hf CLI and curl.
- Browser
- Download file 748 Bytes
-
https://huggingface.co/badianeai/AnandaSky/resolve/main/processor_config.json
- Command line
-
hf download hf://badianeai/AnandaSky/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/badianeai/AnandaSky/resolve/main/processor_config.json
748 Bytes
| { | |
| "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 | |
| } | |
| } |