Image-to-Text
Transformers
Safetensors
falcon_ocr
text-generation
falcon
ocr
vision-language
document-understanding
v1.5
custom_code
Eval Results
Instructions to use tiiuae/Falcon-OCR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiiuae/Falcon-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="tiiuae/Falcon-OCR", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("tiiuae/Falcon-OCR", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from tiiuae/Falcon-OCR: direct link, hf CLI and curl.
- Browser
- Download file 5.06 MB
-
https://huggingface.co/tiiuae/Falcon-OCR/resolve/main/tokenizer.json
- Command line
-
hf download hf://tiiuae/Falcon-OCR/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/tiiuae/Falcon-OCR/resolve/main/tokenizer.json
5.06 MB
File too large to display, you can check the raw version instead.