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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3aab27ef21f36a7f420359c6bea6ea5c0e396a2f4e40adf2c76cafc1259a670
- Size of remote file:
- 4.47 GB
- SHA256:
- a98b503e4189e751d016be542e41db623dcfad893841d7d9294d397478942ae5
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