Upload zeroentropy_zerank-2_0.txt with huggingface_hub

zeroentropy_zerank-2_0.txt

@@ -0,0 +1,37 @@
+```CODE: 
+from sentence_transformers import CrossEncoder
+
+model = CrossEncoder("zeroentropy/zerank-2")
+
+query = "Which planet is known as the Red Planet?"
+passages = [
+	"Venus is often called Earth's twin because of its similar size and proximity.",
+	"Mars, known for its reddish appearance, is often referred to as the Red Planet.",
+	"Jupiter, the largest planet in our solar system, has a prominent red spot.",
+	"Saturn, famous for its rings, is sometimes mistaken for the Red Planet."
+]
+
+scores = model.predict([(query, passage) for passage in passages])
+print(scores)
+```
+
+ERROR: 
+Traceback (most recent call last):
+  File "/tmp/zeroentropy_zerank-2_0125S1o.py", line 35, in <module>
+    scores = model.predict([(query, passage) for passage in passages])
+  File "/tmp/.cache/uv/environments-v2/9b0ab42fca7675f2/lib/python3.13/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
+    return func(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/9b0ab42fca7675f2/lib/python3.13/site-packages/sentence_transformers/cross_encoder/util.py", line 68, in wrapper
+    return func(self, *args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/9b0ab42fca7675f2/lib/python3.13/site-packages/sentence_transformers/cross_encoder/CrossEncoder.py", line 465, in predict
+    model_predictions = self.model(**features, return_dict=True)
+  File "/tmp/.cache/uv/environments-v2/9b0ab42fca7675f2/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/9b0ab42fca7675f2/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/9b0ab42fca7675f2/lib/python3.13/site-packages/transformers/utils/generic.py", line 918, in wrapper
+    output = func(self, *args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/9b0ab42fca7675f2/lib/python3.13/site-packages/transformers/modeling_layers.py", line 142, in forward
+    raise ValueError("Cannot handle batch sizes > 1 if no padding token is defined.")
+ValueError: Cannot handle batch sizes > 1 if no padding token is defined.