reupload model export via transformers.js scripts

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "xlm-roberta-ner-japanese_onnx",
+  "_name_or_path": "tsmatz/xlm-roberta-ner-japanese",
   "architectures": [
     "RobertaForTokenClassification"
   ],

onnx/model.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b13a61ab870eb06a532debe7b59871fb4a7ec4dde6a4570aa31c0c415432021f
-size 1110011930
+oid sha256:c64cbfa081ec526cb2ac17c0bd1a6b831f5c9dd4207fa23d80c1c2e29bc7c89a
+size 1110121272

onnx/model_quantized.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6d2082915ae324afab4def660f932bd223fea2b577f958cc8522b42966883475
-size 278198230
+oid sha256:aced2a203ea3ac7e7ec6f6cb7a0044fc0b1391830c7c57563bdf2018d2d75d8a
+size 278709676

quantize_config.json

@@ -0,0 +1,36 @@
+{
+    "per_channel": true,
+    "reduce_range": true,
+    "per_model_config": {
+        "model": {
+            "op_types": [
+                "Mul",
+                "ConstantOfShape",
+                "Cast",
+                "Slice",
+                "Concat",
+                "Add",
+                "Erf",
+                "Not",
+                "Equal",
+                "Shape",
+                "MatMul",
+                "Expand",
+                "CumSum",
+                "Reshape",
+                "Sub",
+                "Div",
+                "Transpose",
+                "Constant",
+                "Unsqueeze",
+                "Sqrt",
+                "Where",
+                "Softmax",
+                "ReduceMean",
+                "Gather",
+                "Pow"
+            ],
+            "weight_type": "QInt8"
+        }
+    }
+}