Add SetFit model

README.md

@@ -10,26 +10,34 @@ datasets:
 metrics:
 - accuracy
 widget:
-- text: 'def first_with_given_key(iterable, key=lambda x: x):\n    keys_used = {}\n    for
-    item in iterable:\n        rp = repr(key(item))\n        if rp not in keys_used.keys():\n            keys_used[rp]
-    = repr(item)\n            yield item'
-- text: 'def first_with_given_key(iterable, key=lambda x: x):\n    keys=[]\n    for
-    i in iterable:\n        if key(i) not in keys:\n            yield i\n            keys.append(key(i))'
-- text: 'def first_with_given_key(iterable, key=repr):\n    set_of_keys = set()\n    lambda_key
-    = (lambda x: key(x))\n    for item in iterable:\n        key = lambda_key(item)\n        try:\n            key_for_set
-    = hash(key)\n        except TypeError:\n            key_for_set = repr(key)\n        if
-    key_for_set in set_of_keys:\n            continue\n        set_of_keys.add(key_for_set)\n        yield
-    item'
-- text: 'def first_with_given_key(iterable, key = lambda x: x):\n    found_keys={}\n    for
-    i in iterable:\n        if key(i) not in found_keys.keys():\n            found_keys[key(i)]=i\n            yield
-    i'
-- text: 'def first_with_given_key(the_iterable, key=lambda x: x):\n    temp_keys=[]\n    for
-    i in range(len(the_iterable)):\n        if (key(the_iterable[i]) not in temp_keys):\n            temp_keys.append(key(the_iterable[i]))\n            yield
-    the_iterable[i]\n    del temp_keys'
+- text: "def first_with_given_key(iterable, key=lambda y: y):\n    done=list()\n \
+    \   it=iter(iterable)\n    while not False:\n        try:\n            value=next(it)\n\
+    \            if key(value) not in done:\n                yield value\n       \
+    \         done.insert(-1,key(value))\n        except StopIteration:\n        \
+    \    break"
+- text: "def first_with_given_key(iterable, key=lambda y: y):\n    it=iter(iterable)\n\
+    \    li=list()\n    while not False:\n        try:\n            hodnota=next(it)\n\
+    \            if key(hodnota) not in li:\n                yield hodnota\n     \
+    \           li.insert(-1,key(hodnota))\n        except StopIteration:\n      \
+    \      break"
+- text: "def first_with_given_key(iterable, key=lambda item : item):\n    key_list\
+    \ = set()\n    it = iter(iterable)\n    while True:\n        try:\n          \
+    \  item = next(it)\n            value = key(item)\n            try:\n        \
+    \        value = hash(value)\n            except TypeError:\n                value\
+    \ = repr(value)\n            if value not in key_list:\n                key_list.add(value)\n\
+    \                yield item\n        except StopIteration:\n            break"
+- text: "def first_with_given_key(iterable, key=lambda x: x):\n    done=list()\n \
+    \   for value in iterable:\n        if key(value) not in done:\n            yield\
+    \ value\n            done.insert(-1,key(value))"
+- text: "def first_with_given_key(iterable, key=repr):\n    used_keys = {}\n    get_key\
+    \ = return_key(key)\n    for item in iterable:\n        item_key = get_key(item)\n\
+    \        if item_key in used_keys.keys():\n            continue\n        try:\n\
+    \            used_keys[hash(item_key)] = repr(item)\n        except TypeError:\n\
+    \            used_keys[repr(item_key)] = repr(item)\n        yield item"
 pipeline_tag: text-classification
 inference: true
 co2_eq_emissions:
-  emissions: 0.2501735110964191
+  emissions: 0.2503482872622149
   source: codecarbon
   training_type: fine-tuning
   on_cloud: false
@@ -90,7 +98,12 @@ from setfit import SetFitModel
 # Download from the 🤗 Hub
 model = SetFitModel.from_pretrained("hojzas/setfit-proj8-all-mpnet-base-v2")
 # Run inference
-preds = model("def first_with_given_key(iterable, key=lambda x: x):\n    keys=[]\n    for i in iterable:\n        if key(i) not in keys:\n            yield i\n            keys.append(key(i))")
+preds = model("def first_with_given_key(iterable, key=lambda x: x):
+    done=list()
+    for value in iterable:
+        if key(value) not in done:
+            yield value
+            done.insert(-1,key(value))")
 ```
 
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