diff --git a/fund-ner/README.md b/fund-ner/README.md
index 40dddd7..1eab109 100644
--- a/fund-ner/README.md
+++ b/fund-ner/README.md
@@ -8,7 +8,7 @@
 
 ## Utilisation
 
-- [v1/funderTagger/funderTagger](#v1)
+- [v1/tagger](#v1)
 
 ### v1
 
diff --git a/fund-ner/examples.http b/fund-ner/examples.http
index 6085f08..a150612 100644
--- a/fund-ner/examples.http
+++ b/fund-ner/examples.http
@@ -5,7 +5,7 @@
 @baseUrl=http://fund-ner.tdm-services.intra.inist.fr/
 
 ## WS Affiliation - RNSR - v2
-POST {{baseUrl}}/v1/funderTagger/funderTagger?indent=true HTTP/1.1
+POST {{baseUrl}}/v1/tagger?indent=true HTTP/1.1
 Content-Type: application/json
 
 [
diff --git a/fund-ner/v1/best-model.pt.dvc b/fund-ner/v1/best-model.pt.dvc
new file mode 100644
index 0000000..a514b78
--- /dev/null
+++ b/fund-ner/v1/best-model.pt.dvc
@@ -0,0 +1,5 @@
+outs:
+- md5: fdcb80f28184d1fb839f0575a9cffd39
+  size: 419082833
+  hash: md5
+  path: best-model.pt
diff --git a/fund-ner/v1/funderTagger/best-model.pt.dvc b/fund-ner/v1/funderTagger/best-model.pt.dvc
deleted file mode 100644
index a514b78..0000000
--- a/fund-ner/v1/funderTagger/best-model.pt.dvc
+++ /dev/null
@@ -1,5 +0,0 @@
-outs:
-- md5: fdcb80f28184d1fb839f0575a9cffd39
-  size: 419082833
-  hash: md5
-  path: best-model.pt
diff --git a/fund-ner/v1/funderTagger/funderTagger.ini b/fund-ner/v1/funderTagger/funderTagger.ini
deleted file mode 100644
index 7a5ca20..0000000
--- a/fund-ner/v1/funderTagger/funderTagger.ini
+++ /dev/null
@@ -1,41 +0,0 @@
-# OpenAPI Documentation - JSON format (dot notation)
-mimeType = application/json
-post.description = Trouve des financeurs dans un texte
-post.responses.default.description = Renvoie un Json id/value, où value est une liste de financeurs
-post.responses.default.content.application/json.schema.$ref =  #/components/schemas/JSONStream
-post.summary = Recherche de financeurs
-post.requestBody.required = true
-post.requestBody.content.application/json.schema.$ref = #/components/schemas/JSONStream
-post.parameters.0.in = query
-post.parameters.0.name = indent
-post.parameters.0.schema.type = boolean
-post.parameters.0.description = Indent or not the JSON Result
-
-# Examples
-
-post.requestBody.content.application/json.example.0.id = 1
-post.requestBody.content.application/json.example.0.value = This study was funded by the CNRS and INIST.
-post.responses.default.content.application/json.example.0.id = 1
-post.responses.default.content.application/json.example.0.value.0 = CNRS
-post.responses.default.content.application/json.example.0.value.1 = INIST
-
-
-[use]
-plugin = @ezs/spawn
-plugin = @ezs/basics
-plugin = @ezs/storage
-plugin = @ezs/analytics
-[JSONParse]
-separator = *
-[expand]
-path = env('path', 'value')
-size = 100
-# in production mode, uncomment the following line
-# cache = boost
-[expand/exec]
-# command should be executable !
-command = ./v1/funderTagger/funderTagger.py
-
-#command = ./expand.py
-[dump]
-indent = env('indent', false)
\ No newline at end of file
diff --git a/fund-ner/v1/funderTagger/funderTagger.py b/fund-ner/v1/funderTagger/funderTagger.py
deleted file mode 100644
index 65e0f1b..0000000
--- a/fund-ner/v1/funderTagger/funderTagger.py
+++ /dev/null
@@ -1,21 +0,0 @@
-#!/opt/bitnami/python/bin/python3.7
-
-from flair.data import Sentence
-from flair.models import SequenceTagger
-from normalize import normalize
-import json
-import sys
-import logging 
-
-logging.getLogger("flair").handlers[0].stream = sys.stderr
-tagger = SequenceTagger.load('./v1/funderTagger/best-model.pt')
-for line in sys.stdin:
-    data = json.loads(line)
-    lSent = normalize([data["value"]])[0].split()
-    sentence = Sentence()
-    for token in lSent:
-        sentence.add_token(token)
-    tagger.predict(sentence)
-    data["value"] = str([entity.text for entity in sentence.get_spans('ner')])
-    sys.stdout.write(json.dumps(data))
-    sys.stdout.write('\n') 
diff --git a/fund-ner/v1/funderTagger/normalize.py b/fund-ner/v1/funderTagger/normalize.py
deleted file mode 100644
index b4391a2..0000000
--- a/fund-ner/v1/funderTagger/normalize.py
+++ /dev/null
@@ -1,37 +0,0 @@
-def normalize(words):
-    L = []
-    for word in words:
-        save = word
-        finalFile = []
-        end = ['.',',',";",":","»",")","’"]
-        start = ["«","(",".","‘"]
-        middle = ["l'","d'","j'","L'","D'","J'","l’","d’","j’","L’","D’","J’"]
-        queue = []
-
-        File = word.split()
-        for Word in File:
-            word = Word
-            for execp in start:
-                if word.startswith(execp):
-                    finalFile.append(word[0])
-                    word = word[1:]
-            for execp in middle:
-                if word.startswith(execp):
-                    finalFile.append(word[:2])
-                    word = word[2:]
-            for execp in end:
-                if word.endswith(execp):
-                    queue.insert(0,word[-1])
-                    word = word[:-1]
-            
-            finalFile.append(word)
-            for i in queue:
-                finalFile.append(i) 
-            queue = []
-
-        if finalFile == ["a"]:
-            #print("word = ",save)
-            pass
-        
-        L.append(" ".join(finalFile))
-    return L
\ No newline at end of file
diff --git a/fund-ner/v1/normalize.py b/fund-ner/v1/normalize.py
new file mode 100644
index 0000000..b4391a2
--- /dev/null
+++ b/fund-ner/v1/normalize.py
@@ -0,0 +1,37 @@
+def normalize(words):
+    L = []
+    for word in words:
+        save = word
+        finalFile = []
+        end = ['.',',',";",":","»",")","’"]
+        start = ["«","(",".","‘"]
+        middle = ["l'","d'","j'","L'","D'","J'","l’","d’","j’","L’","D’","J’"]
+        queue = []
+
+        File = word.split()
+        for Word in File:
+            word = Word
+            for execp in start:
+                if word.startswith(execp):
+                    finalFile.append(word[0])
+                    word = word[1:]
+            for execp in middle:
+                if word.startswith(execp):
+                    finalFile.append(word[:2])
+                    word = word[2:]
+            for execp in end:
+                if word.endswith(execp):
+                    queue.insert(0,word[-1])
+                    word = word[:-1]
+            
+            finalFile.append(word)
+            for i in queue:
+                finalFile.append(i) 
+            queue = []
+
+        if finalFile == ["a"]:
+            #print("word = ",save)
+            pass
+        
+        L.append(" ".join(finalFile))
+    return L
\ No newline at end of file
diff --git a/fund-ner/v1/tagger.ini b/fund-ner/v1/tagger.ini
new file mode 100644
index 0000000..7f761f3
--- /dev/null
+++ b/fund-ner/v1/tagger.ini
@@ -0,0 +1,41 @@
+# OpenAPI Documentation - JSON format (dot notation)
+mimeType = application/json
+post.description = Trouve des financeurs dans un texte
+post.responses.default.description = Renvoie un Json id/value, où value est une liste de financeurs
+post.responses.default.content.application/json.schema.$ref =  #/components/schemas/JSONStream
+post.summary = Recherche de financeurs
+post.requestBody.required = true
+post.requestBody.content.application/json.schema.$ref = #/components/schemas/JSONStream
+post.parameters.0.in = query
+post.parameters.0.name = indent
+post.parameters.0.schema.type = boolean
+post.parameters.0.description = Indent or not the JSON Result
+
+# Examples
+
+post.requestBody.content.application/json.example.0.id = 1
+post.requestBody.content.application/json.example.0.value = This study was funded by the CNRS and INIST.
+post.responses.default.content.application/json.example.0.id = 1
+post.responses.default.content.application/json.example.0.value.0 = CNRS
+post.responses.default.content.application/json.example.0.value.1 = INIST
+
+
+[use]
+plugin = @ezs/spawn
+plugin = @ezs/basics
+plugin = @ezs/storage
+plugin = @ezs/analytics
+[JSONParse]
+separator = *
+[expand]
+path = env('path', 'value')
+size = 100
+# in production mode, uncomment the following line
+# cache = boost
+[expand/exec]
+# command should be executable !
+command = ./v1/tagger.py
+
+#command = ./expand.py
+[dump]
+indent = env('indent', false)
diff --git a/fund-ner/v1/tagger.py b/fund-ner/v1/tagger.py
new file mode 100644
index 0000000..bdd493c
--- /dev/null
+++ b/fund-ner/v1/tagger.py
@@ -0,0 +1,21 @@
+#!/opt/bitnami/python/bin/python3.7
+
+from flair.data import Sentence
+from flair.models import SequenceTagger
+from normalize import normalize
+import json
+import sys
+import logging 
+
+logging.getLogger("flair").handlers[0].stream = sys.stderr
+tagger = SequenceTagger.load('./v1/best-model.pt')
+for line in sys.stdin:
+    data = json.loads(line)
+    lSent = normalize([data["value"]])[0].split()
+    sentence = Sentence()
+    for token in lSent:
+        sentence.add_token(token)
+    tagger.predict(sentence)
+    data["value"] = str([entity.text for entity in sentence.get_spans('ner')])
+    sys.stdout.write(json.dumps(data))
+    sys.stdout.write('\n')