How to use AhmedZaky1/DIMI-Arabic-OCR 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="AhmedZaky1/DIMI-Arabic-OCR")
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AhmedZaky1/DIMI-Arabic-OCR", dtype="auto")
How to use AhmedZaky1/DIMI-Arabic-OCR with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for AhmedZaky1/DIMI-Arabic-OCR to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for AhmedZaky1/DIMI-Arabic-OCR to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for AhmedZaky1/DIMI-Arabic-OCR to start chatting
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="AhmedZaky1/DIMI-Arabic-OCR", max_seq_length=2048, )
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