Token Classification
Transformers
French
German
ocr_qa_assessment
ocr
bloomfilter
unigram
impresso
quality-assessment
v1.0.6
custom_code
Instructions to use impresso-project/ocr-quality-assessor-unigram-light with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use impresso-project/ocr-quality-assessor-unigram-light with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="impresso-project/ocr-quality-assessor-unigram-light", trust_remote_code=True)# Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("impresso-project/ocr-quality-assessor-unigram-light", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "impresso-project/ocr-quality-assessment-light", | |
| "architectures": [ | |
| "QAAssessmentModel" | |
| ], | |
| "filename": { | |
| "de": "models/ocrqa-wp_v1.0.5-de.bloom", | |
| "fr": "models/ocrqa-wp_v1.0.5-fr.bloom", | |
| "en": "models/ocrqa-wp_v1.0.5-en.bloom", | |
| "other": "models/ocrqa-wp_v1.0.5-en.bloom" | |
| }, | |
| "attention_probs_dropout_prob": 0.1, | |
| "auto_map": { | |
| "AutoConfig": "configuration_ocrqa.ImpressoConfig", | |
| "AutoModelForTokenClassification": "modeling_ocrqa.QAAssessmentModel" | |
| }, | |
| "custom_pipelines": { | |
| "ocr-qa-assessment": { | |
| "impl": "ocr_qa_assessment.QAAssessmentPipeline", | |
| "pt": "AutoModelForTokenClassification" | |
| } | |
| }, | |
| "model_type": "ocr_qa_assessment", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.49.0" | |
| } | |