Upload google_embeddinggemma-300m_4.txt with huggingface_hub

google_embeddinggemma-300m_4.txt

@@ -0,0 +1,29 @@
+```CODE: 
+# The sentences to encode
+sentence_high = [
+    "The chef prepared a delicious meal for the guests.",
+    "A tasty dinner was cooked by the chef for the visitors."
+]
+sentence_medium = [
+    "She is an expert in machine learning.",
+    "He has a deep interest in artificial intelligence."
+]
+sentence_low = [
+    "The weather in Tokyo is sunny today.",
+    "I need to buy groceries for the week."
+]
+
+for sentence in [sentence_high, sentence_medium, sentence_low]:
+    print("🙋‍♂️")
+    print(sentence)
+    embeddings = model.encode(sentence)
+    similarities = model.similarity(embeddings[0], embeddings[1])
+    print("`-> 🤖 score: ", similarities.numpy()[0][0])
+```
+
+ERROR: 
+Traceback (most recent call last):
+  File "/tmp/google_embeddinggemma-300m_4PP3WIF.py", line 31, in <module>
+    embeddings = model.encode(sentence)
+                 ^^^^^
+NameError: name 'model' is not defined