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)# 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
FIX: Add proper requirements.txt with from_pretrained support
Browse files- requirements.txt +2 -1
requirements.txt
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torch>=2.0.0
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transformers>=4.
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pillow>=9.0.0
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numpy>=1.21.0
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safetensors>=0.3.0
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accelerate>=0.20.0
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torch>=2.0.0
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+
transformers>=4.40.0
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pillow>=9.0.0
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numpy>=1.21.0
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| 5 |
safetensors>=0.3.0
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accelerate>=0.20.0
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+
qwen-vl-utils>=0.0.1
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