Image-to-Text
Transformers
Safetensors
falcon_ocr
text-generation
falcon
ocr
vision-language
document-understanding
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)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("tiiuae/Falcon-OCR", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add OlmOCRBench evaluation results
#8
by nielsr HF Staff - opened
This PR ensures your model shows up at https://huggingface.co/datasets/allenai/olmOCR-bench.
Learn more about this new feature here: https://huggingface.co/docs/hub/eval-results.
Hey,
Thanks for the PR. Just to give you a heads up, if you read the technical report, we are using the English only subset from
https://huggingface.co/datasets/sarvamai/olmOCR-Bench-English/tree/main
Hopefully, you know this.
Best,
Wamiq
Brilliant. Thanks.
Then, I will close.
wamreyaz changed pull request status to merged