Instructions to use jvdzwaan/ocrpostcorrection-task-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jvdzwaan/ocrpostcorrection-task-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jvdzwaan/ocrpostcorrection-task-1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jvdzwaan/ocrpostcorrection-task-1") model = AutoModelForTokenClassification.from_pretrained("jvdzwaan/ocrpostcorrection-task-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model
This is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.2b40832
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Add multilingual to the language tag (#1)
- Add multilingual to the language tag (7db57564e1af598c0e4e3d49680284f439100d17) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>398fb99
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Update README.md
- fix language cz -> cs - remove sentence about metrics3acea32 -
Add model card (README.md)
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Upload BertForTokenClassification
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initial commit
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