Update README.md

README.md

@@ -1,4 +1,8 @@
+---
+pipeline_tag: text-classification
+---
 Usage
+
 To use this model, please install BERTopic:
 
 pip install -U bertopic
@@ -12,33 +16,56 @@ topic_model = BERTopic.load("kdot/BERTopicTelegramAnalysis")
 topic_model.get_topic_info()
 
 Topic overview
+
 Number of topics: 30
+
 Number of training documents: 339650
 
 Training hyperparameters
+
 calculate_probabilities: False
+
 language: multilingual
+
 low_memory: False
+
 min_topic_size: 10
+
 n_gram_range: (1, 1)
+
 nr_topics: 30
+
 seed_topic_list: None
+
 top_n_words: 10
+
 verbose: True
 
 Note: When saving the model, make sure to also keep track of the versions of dependencies and Python used. 
 Loading and saving the model should be done using the same dependencies and Python. 
+
 Moreover, models saved in one version of BERTopic are not guaranteed to load in other versions.
 
 Framework versions
+
 bertopic 0.15.0
+
 Numpy: 1.24.4
+
 HDBSCAN: 0.8.33
+
 UMAP: 0.5.4
+
 Pandas: 2.0.3
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 Scikit-Learn: 1.0.2
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 Sentence-transformers: 2.2.2
+
 Transformers: 4.33.2
+
 Numba: 0.58.0
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 Plotly: 5.17.0
+
 Python: 3.8.10