Image-to-Text
Transformers
PyTorch
textract
feature-extraction
ocr
vision-language
qwen2-vl
custom-model
text-extraction
document-ai
high-accuracy
custom_code
Instructions to use BabaK07/textract-ai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BabaK07/textract-ai 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="BabaK07/textract-ai", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BabaK07/textract-ai", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 428 Bytes
b127e5d c00ee2c b127e5d c00ee2c b127e5d c00ee2c b127e5d c00ee2c b127e5d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"architectures": [
"FixedTextractAI"
],
"model_type": "textract",
"base_model": "Qwen/Qwen2-VL-2B-Instruct",
"hidden_size": 1536,
"vocab_size": 152064,
"torch_dtype": "float32",
"transformers_version": "4.40.0",
"auto_map": {
"AutoModel": "modeling_textract.FixedTextractAI",
"AutoConfig": "modeling_textract.TextractConfig"
},
"_name_or_path": "BabaK07/textract-ai",
"custom_model": true
} |