add mainr eadme

README.md

@@ -11,28 +11,27 @@ tags:
 
 #### How to use
 
-You can use this model with Transformers *pipeline* for NER.
 
 <!-- Provide a longer summary of what this model is. -->
 ```python
 from transformers import pipeline
 
-MODEL_NAME = "emanuelaboros/lang-detect"
+MODEL_NAME = "impresso-project/ocr-quality-assessment-light"
 
-lang_pipeline = pipeline("lang-detect", model=MODEL_NAME, 
+ocrqa_pipeline = pipeline("ocr-qa-assessment", model=MODEL_NAME, 
                         trust_remote_code=True,
                         device='cpu')
 
 sentence = """En l'an 1348, au plus fort des ravages de la peste noire à travers l'Europe,
           le Royaume de France se trouvait à la fois au bord du désespoir et face à une opportunité."""
 
-langs = lang_pipeline(sentence)
-langs
+score = ocrqa_pipeline(sentence)
+print(score)
 
 ```
 
 ```
-{'label': 'fr', 'confidence': 99.87}
+
 ```
 Works with lists of sentences also.
 

config.json

@@ -15,7 +15,7 @@
     "AutoModelForTokenClassification": "modeling_ocrqa.QAAssessmentModel"
   },
   "custom_pipelines": {
-    "lang-detect": {
+    "ocr-qa-assessment": {
       "impl": "ocr_qa_assessment.QAAssessmentPipeline",
       "pt": "AutoModelForTokenClassification"
     }