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Headlines-OCR-Correction
Pclanglais/Headlines-OCR-Correction
Headlines-OCR-Correction is a machine learning model from Pclanglais. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Headlines-OCR-Correction is a model for the the correction of OCR errors and the standardization of French news headlines.
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At a glance
- License
- apache-2.0
- Model type
- llama
- Access
- Public
- Created
- Oct 25, 2024
- Updated
- Oct 25, 2024
- SHA
- 285695f5
Model card
From the Hugging Face model README
Headlines-OCR-Correction is a model for the the correction of OCR errors and the standardization of French news headlines.
Usage
Headlines-OCR-Correction use a custom instruction structure: "### Text ###\n[text]\n\n### Correction ###\n" and a custom eos #END#.
Typical usage with vllm:
sampling_params = SamplingParams(temperature=0.9, top_p=.95, max_tokens=4000, presence_penalty = 0, stop=["#END#"])
prompt = "### Text ###\n" + user_input + "\n\n### Correction ###\n"
outputs = llm.generate(prompts, sampling_params, use_tqdm = False)
- Type
- llama
- License
- apache-2.0
- Languages
- fr, en, de, es, it
- Created
- Oct 25, 2024
- Updated
- Oct 25, 2024