Add BERTopic model

README.md

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+
+---
+tags:
+- bertopic
+library_name: bertopic
+pipeline_tag: text-classification
+---
+
+# bertopic_ready_labeled
+
+This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model. 
+BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets. 
+
+## Usage 
+
+To use this model, please install BERTopic:
+
+```
+pip install -U bertopic
+```
+
+You can use the model as follows:
+
+```python
+from bertopic import BERTopic
+topic_model = BERTopic.load("DobreMihai/bertopic_ready_labeled")
+
+topic_model.get_topic_info()
+```
+
+## Topic overview
+
+* Number of topics: 16
+* Number of training documents: 24020
+
+<details>
+  <summary>Click here for an overview of all topics.</summary>
+  
+  | Topic ID | Topic Keywords | Topic Frequency | Label | 
+|----------|----------------|-----------------|-------| 
+| -1 | be - it - the - to - alarm | 11 | -1_be_it_the_to | 
+| 0 | math - app - up - to - wake | 9581 | Math | 
+| 1 | not - the - alarm - it - off | 4179 | Sometimes not Ringing | 
+| 2 | snooze -  -  -  -  | 2294 | Good App | 
+| 3 | loud -  -  -  -  | 2279 | Premium Subscription | 
+| 4 | be - premium - the - to - pay | 1866 | Loud | 
+| 5 | camera -  -  -  -  | 1753 | Take Photo | 
+| 6 | snooze - the - to - be - button | 603 | Snooze | 
+| 7 | easy - use - simple - and - to | 381 | Easy to Use | 
+| 8 | barcode - scan - the - code - to | 294 | Barcode Scanner | 
+| 9 | ring - not - it - do - work | 282 | Update | 
+| 10 | shake - it - the - phone - to | 263 | Shake Mission | 
+| 11 | horoscope - be - it - and - news | 99 | Horoscope/News | 
+| 12 | hot - phone - overheat - my - heat | 93 | Overheating | 
+| 13 | mb - space - storage - app - be | 21 | Storage Size | 
+| 14 | challenge - solve - purpose - fun - winner | 21 | Challenges |
+  
+</details>
+
+## Training hyperparameters
+
+* calculate_probabilities: False
+* language: english
+* low_memory: False
+* min_topic_size: 10
+* n_gram_range: (1, 1)
+* nr_topics: 50
+* seed_topic_list: None
+* top_n_words: 10
+* verbose: False
+* zeroshot_min_similarity: 0.85
+* zeroshot_topic_list: ['android', 'premium*', 'ads', 'math', 'subscription', 'update', 'camera', 'shake', 'weather', 'snooze', 'loud', 'doesn', 'off']
+
+## Framework versions
+
+* Numpy: 1.26.4
+* HDBSCAN: 0.8.38.post1
+* UMAP: 0.5.6
+* Pandas: 2.2.1
+* Scikit-Learn: 1.5.2
+* Sentence-transformers: 3.1.0
+* Transformers: 4.44.2
+* Numba: 0.60.0
+* Plotly: 5.24.1
+* Python: 3.10.15

config.json

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+{
+  "calculate_probabilities": false,
+  "language": "english",
+  "low_memory": false,
+  "min_topic_size": 10,
+  "n_gram_range": [
+    1,
+    1
+  ],
+  "nr_topics": 50,
+  "seed_topic_list": null,
+  "top_n_words": 10,
+  "verbose": false,
+  "zeroshot_min_similarity": 0.85,
+  "zeroshot_topic_list": [
+    "android",
+    "premium*",
+    "ads",
+    "math",
+    "subscription",
+    "update",
+    "camera",
+    "shake",
+    "weather",
+    "snooze",
+    "loud",
+    "doesn",
+    "off"
+  ],
+  "embedding_model": "sentence-transformers/all-MiniLM-L6-v2"
+}

ctfidf.safetensors

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+oid sha256:9671eccc4f5dd06d8bf0847a7d1a3f1c80fe61c680c620c90f5f576095b1059b
+size 438840

topic_embeddings.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:88cdae70b48303861fe28145f6e1f307e5e40ed24655cebccb30de16cf590611
+size 24664