Add BERTopic model

README.md

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+
+---
+tags:
+- bertopic
+library_name: bertopic
+pipeline_tag: text-classification
+---
+
+# model_jeff
+
+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/model_jeff")
+
+topic_model.get_topic_info()
+```
+
+## Topic overview
+
+* Number of topics: 26
+* Number of training documents: 36727
+
+<details>
+  <summary>Click here for an overview of all topics.</summary>
+
+  | Topic ID | Topic Keywords | Topic Frequency | Label | 
+|----------|----------------|-----------------|-------| 
+| -1 | jeff - just - great - love - thank | 256 | -1_jeff_just_great_love | 
+| 0 | protein - fat - weight - eat - calories | 8978 | 0_protein_fat_weight_eat | 
+| 1 | sets - reps - exercise - week - sets reps | 9577 | 1_sets_reps_exercise_week | 
+| 2 | content - great - thank - science - informative | 5017 | 2_content_great_thank_science | 
+| 3 | breaking bad - breaking - bad - better - better breaking | 1473 | 3_breaking bad_breaking_bad_better | 
+| 4 | level - ready - ready level - level ready - level level | 1425 | 4_level_ready_ready level_level ready | 
+| 5 | bench - press - chest - bench press - grip | 1234 | 5_bench_press_chest_bench press | 
+| 6 | thank - great - man - amazing - thanks | 951 | 6_thank_great_man_amazing | 
+| 7 | fitness - videos - science - thank - jeff | 818 | 7_fitness_videos_science_thank | 
+| 8 | pro - elite - average - lost - level | 741 | 8_pro_elite_average_lost | 
+| 9 | app - macros - macrofactor - macro - fat | 641 | 9_app_macros_macrofactor_macro | 
+| 10 | jeff - jeff jeff - bro jeff - bro - love jeff | 578 | 10_jeff_jeff jeff_bro jeff_bro | 
+| 11 | videos - love - love videos - youtube - quality | 524 | 11_videos_love_love videos_youtube | 
+| 12 | kiwi - kiwi juice - juice - snort - snorting | 468 | 12_kiwi_kiwi juice_juice_snort | 
+| 13 | steroids - testosterone - steroid - anabolic - use steroids | 440 | 13_steroids_testosterone_steroid_anabolic | 
+| 14 | book - program - bought - books - ordered | 395 | 14_book_program_bought_books | 
+| 15 | roids - women - habits - atomic - atomic habits | 393 | 15_roids_women_habits_atomic | 
+| 16 | tall - short - look - height - dude | 382 | 16_tall_short_look_height | 
+| 17 | mask - wearing - wearing mask - hoodie - shirt | 340 | 17_mask_wearing_wearing mask_hoodie | 
+| 18 | shapiro - ben - ben shapiro - jacked - nerd | 336 | 18_shapiro_ben_ben shapiro_jacked | 
+| 19 | mom - chili - macros - recipe - plastic | 314 | 19_mom_chili_macros_recipe | 
+| 20 | jeff - thanks jeff - thanks - thank jeff - thank | 308 | 20_jeff_thanks jeff_thanks_thank jeff | 
+| 21 | sleep - hours - sleeping - work - job | 301 | 21_sleep_hours_sleeping_work | 
+| 22 | steph - bro steph - ber - bro - ber ber | 288 | 22_steph_bro steph_ber_bro | 
+| 23 | voice - sound - match - voice doesn - sounds | 282 | 23_voice_sound_match_voice doesn | 
+| 24 | thumbnail - picture - look - pic - photo | 267 | 24_thumbnail_picture_look_pic |
+
+</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: 10
+* 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": 10,
+  "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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+size 6934211

topic_embeddings.bin

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