Add BERTopic model

README.md

@@ -0,0 +1,77 @@
+
+---
+tags:
+- bertopic
+library_name: bertopic
+pipeline_tag: text-classification
+---
+
+# wolf_topic_model_custom
+
+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("wongzien2000/wolf_topic_model_custom")
+
+topic_model.get_topic_info()
+```
+
+## Topic overview
+
+* Number of topics: 8
+* Number of training documents: 2933
+
+<details>
+  <summary>Click here for an overview of all topics.</summary>
+
+  | Topic ID | Topic Keywords | Topic Frequency | Label | 
+|----------|----------------|-----------------|-------| 
+| -1 | tier - like - just - milo - video | 114 | -1_tier_like_just_milo | 
+| 0 | cable - exercise - lateral - like - delts | 979 | 0_cable_exercise_lateral_like | 
+| 1 | squats - leg - squat - pistol - sissy | 986 | 1_squats_leg_squat_pistol | 
+| 2 | mike - dr - dr mike - darth - like | 212 | 2_mike_dr_dr mike_darth | 
+| 3 | deadlift - deadlifts - hypertrophy - stretch - strength | 212 | 3_deadlift_deadlifts_hypertrophy_stretch | 
+| 4 | video - wolf - great - dr - channel | 151 | 4_video_wolf_great_dr | 
+| 5 | exercises - video - studies - science - exercise | 149 | 5_exercises_video_studies_science | 
+| 6 | week - protein - sets - fat - muscle | 130 | 6_week_protein_sets_fat |
+
+</details>
+
+## Training hyperparameters
+
+* calculate_probabilities: True
+* language: None
+* low_memory: False
+* min_topic_size: 10
+* n_gram_range: (1, 1)
+* nr_topics: None
+* seed_topic_list: None
+* top_n_words: 5
+* verbose: True
+* zeroshot_min_similarity: 0.7
+* zeroshot_topic_list: None
+
+## Framework versions
+
+* Numpy: 2.0.2
+* HDBSCAN: 0.8.40
+* UMAP: 0.5.7
+* Pandas: 2.2.2
+* Scikit-Learn: 1.6.1
+* Sentence-transformers: 3.4.1
+* Transformers: 4.50.2
+* Numba: 0.60.0
+* Plotly: 5.24.1
+* Python: 3.11.11

config.json

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+{
+  "calculate_probabilities": true,
+  "language": null,
+  "low_memory": false,
+  "min_topic_size": 10,
+  "n_gram_range": [
+    1,
+    1
+  ],
+  "nr_topics": null,
+  "seed_topic_list": null,
+  "top_n_words": 5,
+  "verbose": true,
+  "zeroshot_min_similarity": 0.7,
+  "zeroshot_topic_list": null,
+  "embedding_model": "sentence-transformers/all-MiniLM-L6-v2"
+}

ctfidf.bin

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+oid sha256:e48917b1b275050cef7455830317aa52a3d8286142c660d5a23dbdaf348ea670
+size 888579

topic_embeddings.bin

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+oid sha256:527247a643b90331a7d04c2dcf4c91678730a8ac1d5f2a17fa49dd8120417f00
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topics.json

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+{
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+      [
+        "like",
+        0.014968008882704428
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+      [
+        "just",
+        0.014842014442259443
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+      [
+        "milo",
+        0.013543872977013975
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+      [
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+        0.013155101067534486
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+        0.023976345319811222
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+      [
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+      [
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+      [
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+        0.016469033287391056
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+      [
+        "delts",
+        0.01591027626109855
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+        0.06271393981462275
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+      [
+        "leg",
+        0.056445104015527756
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+      [
+        "squat",
+        0.05509206402435226
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+      [
+        "pistol",
+        0.04280233728894508
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+      [
+        "sissy",
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+      [
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+      [
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+      [
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+    "5": [
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