Upload BAAI_bge-m3_0.py with huggingface_hub

BAAI_bge-m3_0.py

@@ -0,0 +1,71 @@
+# /// script
+# requires-python = ">=3.12"
+# dependencies = [
+#     "torch",
+#     "torchvision",
+#     "transformers",
+#     "accelerate",
+#     "peft",
+#     "slack-sdk",
+# ]
+# ///
+
+try:
+    from sentence_transformers import SentenceTransformer
+    
+    model = SentenceTransformer("BAAI/bge-m3")
+    
+    sentences = [
+        "That is a happy person",
+        "That is a happy dog",
+        "That is a very happy person",
+        "Today is a sunny day"
+    ]
+    embeddings = model.encode(sentences)
+    
+    similarities = model.similarity(embeddings, embeddings)
+    print(similarities.shape)
+    # [4, 4]
+    with open('BAAI_bge-m3_0.txt', 'w', encoding='utf-8') as f:
+        f.write('Everything was good in BAAI_bge-m3_0.txt')
+except Exception as e:
+    import os
+    from slack_sdk import WebClient
+    client = WebClient(token=os.environ['SLACK_TOKEN'])
+    client.chat_postMessage(
+        channel='#exp-slack-alerts',
+        text='Problem in <https://huggingface.co/datasets/model-metadata/code_execution_files/blob/main/BAAI_bge-m3_0.txt|BAAI_bge-m3_0.txt>',
+    )
+
+    with open('BAAI_bge-m3_0.txt', 'a', encoding='utf-8') as f:
+        import traceback
+        f.write('''```CODE: 
+from sentence_transformers import SentenceTransformer
+
+model = SentenceTransformer("BAAI/bge-m3")
+
+sentences = [
+    "That is a happy person",
+    "That is a happy dog",
+    "That is a very happy person",
+    "Today is a sunny day"
+]
+embeddings = model.encode(sentences)
+
+similarities = model.similarity(embeddings, embeddings)
+print(similarities.shape)
+# [4, 4]
+```
+
+ERROR: 
+''')
+        traceback.print_exc(file=f)
+    
+finally:
+    from huggingface_hub import upload_file
+    upload_file(
+        path_or_fileobj='BAAI_bge-m3_0.txt',
+        repo_id='model-metadata/code_execution_files',
+        path_in_repo='BAAI_bge-m3_0.txt',
+        repo_type='dataset',
+    )