---
tags:
- bertopic
library_name: bertopic
pipeline_tag: text-classification
---

# wolf_topic_model

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")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 60
* Number of training documents: 2933

<details>
  <summary>Click here for an overview of all topics.</summary>

  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | like - just - video - delts - exercise | 11 | -1_like_just_video_delts | 
| 0 | deadlift - deadlifts - strength - just - hypertrophy | 972 | 0_deadlift_deadlifts_strength_just | 
| 1 | cable - lateral - cable lateral - raise - lateral raise | 101 | 1_cable_lateral_cable lateral_raise | 
| 2 | curls - curl - incline - biceps - preacher | 88 | 2_curls_curl_incline_biceps | 
| 3 | rows - row - tbar - bar - tbar row | 87 | 3_rows_row_tbar_bar | 
| 4 | squats - squat - split - lunges - sissy squats | 66 | 4_squats_squat_split_lunges | 
| 5 | triceps - tricep - overhead - elbows - head | 65 | 5_triceps_tricep_overhead_elbows | 
| 6 | exercises - video - exercise - emg - videos | 64 | 6_exercises_video_exercise_emg | 
| 7 | afternoon - el - mid afternoon - super mid - 1030 | 63 | 7_afternoon_el_mid afternoon_super mid | 
| 8 | pullups - ups - pull - pull ups - chin | 57 | 8_pullups_ups_pull_pull ups | 
| 9 | milo - dr milo - hear - miew - milo milo | 54 | 9_milo_dr milo_hear_miew | 
| 10 | dr mike - dr - mike - dr mikes - mikes | 53 | 10_dr mike_dr_mike_dr mikes | 
| 11 | tier - list - tier list - list tier - video | 53 | 11_tier_list_tier list_list tier | 
| 12 | darth - sith - darth mike - mike - lord | 50 | 12_darth_sith_darth mike_mike | 
| 13 | leg - leg extension - extension - quad - quads | 49 | 13_leg_leg extension_extension_quad | 
| 14 | mike - mikes - face - mikes face - love mike | 46 | 14_mike_mikes_face_mikes face | 
| 15 | stretch - position - lengthened - stretched - muscle | 43 | 15_stretch_position_lengthened_stretched | 
| 16 | lats - lat - pullovers - pullover - feel | 43 | 16_lats_lat_pullovers_pullover | 
| 17 | pistol - pistol squats - squats - squat - pistol squat | 41 | 17_pistol_pistol squats_squats_squat | 
| 18 | press - overhead - overhead press - shoulder - shoulder press | 39 | 18_press_overhead_overhead press_shoulder | 
| 19 | protein - fat - mass - protein intake - intake | 37 | 19_protein_fat_mass_protein intake | 
| 20 | traps - rack - trap - shrug - shrugs | 37 | 20_traps_rack_trap_shrug | 
| 21 | wolf - dr wolf - beard - dr - natural | 37 | 21_wolf_dr wolf_beard_dr | 
| 22 | calf - calf raise - seated calf - seated - soleus | 36 | 22_calf_calf raise_seated calf_seated | 
| 23 | sets - week - volume - reps - day | 35 | 23_sets_week_volume_reps | 
| 24 | raise - lateral - lateral raise - raises - lateral raises | 34 | 24_raise_lateral_lateral raise_raises | 
| 25 | straps - exercises - lunges - pull - upper | 33 | 25_straps_exercises_lunges_pull | 
| 26 | app - myoadapt - december - waiting - coming | 32 | 26_app_myoadapt_december_waiting | 
| 27 | muscle - muscle growth - growth - gain - week | 31 | 27_muscle_muscle growth_growth_gain | 
| 28 | hypertrophy - strength - strength hypertrophy - hypertrophy love - like | 30 | 28_hypertrophy_strength_strength hypertrophy_hypertrophy love | 
| 29 | shirt - sun - praise - hoodie - praise sun | 29 | 29_shirt_sun_praise_hoodie | 
| 30 | barbell - row - dumbbell - tier - pullover | 29 | 30_barbell_row_dumbbell_tier | 
| 31 | video - great video - video great - great - thank | 29 | 31_video_great video_video great_great | 
| 32 | rear - rear delts - delts - delt - rear delt | 26 | 32_rear_rear delts_delts_delt | 
| 33 | ending - end - prepared end - prepared - amazing ending | 24 | 33_ending_end_prepared end_prepared | 
| 34 | partials - lengthened partials - lengthened - bitch - partials bitch | 22 | 34_partials_lengthened partials_lengthened_bitch | 
| 35 | nordics - reverse - reverse nordics - quads - nordic | 22 | 35_nordics_reverse_reverse nordics_quads | 
| 36 | dip - dips - rom - dip rom - dip form | 20 | 36_dip_dips_rom_dip rom | 
| 37 | sound - audio - sound effects - effects - audio sounds | 20 | 37_sound_audio_sound effects_effects | 
| 38 | shoulder - shoulders - best shoulder - shoulders start - shoulder programs | 20 | 38_shoulder_shoulders_best shoulder_shoulders start | 
| 39 | bugenhagen - wait - eric - sticky ricky - ricky | 20 | 39_bugenhagen_wait_eric_sticky ricky | 
| 40 | fly - flys - dumbbell fly - dumbbell - flies | 19 | 40_fly_flys_dumbbell fly_dumbbell | 
| 41 | thanks - great - info - stuff - awesome finish | 19 | 41_thanks_great_info_stuff | 
| 42 | dips - chest - pecs - dip - weighted dips | 19 | 42_dips_chest_pecs_dip | 
| 43 | home - home gym - gym - equipment - limited | 17 | 43_home_home gym_gym_equipment | 
| 44 | nordic - reverse nordic - nordic curl - reverse - curl | 17 | 44_nordic_reverse nordic_nordic curl_reverse | 
| 45 | grip - pulldown - wide - wide grip - lat | 17 | 45_grip_pulldown_wide_wide grip | 
| 46 | dumbbell - pullovers - dumbbells - doing - dumbbell pullovers | 16 | 46_dumbbell_pullovers_dumbbells_doing | 
| 47 | blew - blown - bro - 140lbs - blew dont | 15 | 47_blew_blown_bro_140lbs | 
| 48 | science - experts - matter experts - subject matter - studies | 15 | 48_science_experts_matter experts_subject matter | 
| 49 | physique - guy - sciencebased - looks - guy physique | 15 | 49_physique_guy_sciencebased_looks | 
| 50 | time - worse - convenient - exercises - sets | 14 | 50_time_worse_convenient_exercises | 
| 51 | fat - body fat - 22 - body - percent | 14 | 51_fat_body fat_22_body | 
| 52 | kurt - kurt angle - jacked - kinda - funny | 13 | 52_kurt_kurt angle_jacked_kinda | 
| 53 | grandma - uncles - sex - sex grandma - poor | 13 | 53_grandma_uncles_sex_sex grandma | 
| 54 | jeff - jeff nippard - nippard - ya - nippard copy | 13 | 54_jeff_jeff nippard_nippard_ya | 
| 55 | channel - ii - benefit lot - advance complain - block channels | 13 | 55_channel_ii_benefit lot_advance complain | 
| 56 | time stamps - stamps - timestamps - time - descriptive time | 12 | 56_time stamps_stamps_timestamps_time | 
| 57 | content - man - content man - good content - algorithm | 12 | 57_content_man_content man_good content | 
| 58 | delts - delts delts - delt - delt exercises - channel btw | 12 | 58_delts_delts delts_delt_delt exercises |

</details>

## Training hyperparameters

* calculate_probabilities: True
* language: english
* 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