releasing fashion_mnist - kamangir/bolt#692

abcli/fashion_mnist.sh

@@ -12,6 +12,8 @@ function abcli_fashion_mnist() {
             "ingest fashion_mnist data."
         abcli_help_line "fashion_mnist predict object_1" \
             "run fashion_mnist model object_1 predict."
+        abcli_help_line "fashion_mnist release name_1 object_1" \
+            "release fashion_mnist as image."
         abcli_help_line "fashion_mnist train [validate]" \
             "train fashion_mnist [for validation]."
 
@@ -38,6 +40,11 @@ function abcli_fashion_mnist() {
         return
     fi
 
+    if [ "$task" == "release" ] ; then
+        abcli_huggingface release image-classifier ${@:2}
+        return
+    fi
+
     if [ "$task" == "train" ] ; then
         local model_object=$abcli_object_name
 

abcli/image_classifier.sh

@@ -14,6 +14,8 @@ function abcli_image_classifier() {
             "install image_classifier."
         abcli_help_line "$abcli_cli_name image_classifier predict object_1 object_2" \
             "run image_classifier model object_1 predict on data object_2."
+        abcli_help_line "$abcli_cli_name image_classifier release" \
+            "release image_classifier."
         abcli_help_line "$abcli_cli_name image_classifier train object_1" \
             "train image_classifier on data object_1."
 
@@ -46,6 +48,11 @@ function abcli_image_classifier() {
         return
     fi
 
+    if [ "$task" == "release" ] ; then
+        abcli_huggingface release image-classifier ${@:2}
+        return
+    fi
+
     abcli_log_error "-fashion_mnist: image-classifier: $task: command not found."
 }
 

image_classifier/__init__.py

@@ -1,5 +1,5 @@
 name = "image_classifier"
 
-version = "1.1.81"
+version = "1.1.82"
 
 description = "fashion-mnist + hugging-face + awesome-bash-cli"