Hugging Face's logo

wongzien2000
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model_wolf

Text Classification
BERTopic
Model card Files
xet
Community
wongzien2000 commited on
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verified ·
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Add BERTopic model

Browse files
Files changed (6) hide show
  1. README.md +88 -0
  2. config.json +17 -0
  3. ctfidf.bin +3 -0
  4. ctfidf_config.json +0 -0
  5. topic_embeddings.bin +3 -0
  6. topics.json +6396 -0
README.md ADDED
@@ -0,0 +1,88 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+
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+ ---
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+ tags:
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+ - bertopic
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+ library_name: bertopic
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+ pipeline_tag: text-classification
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+ ---
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+
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+ # model_wolf
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+
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+ This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
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+ BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
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+
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+ ## Usage
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+
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+ To use this model, please install BERTopic:
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+
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+ ```
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+ pip install -U bertopic
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+ ```
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+
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+ You can use the model as follows:
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+
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+ ```python
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+ from bertopic import BERTopic
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+ topic_model = BERTopic.load("wongzien2000/model_wolf")
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+
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+ topic_model.get_topic_info()
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+ ```
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+
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+ ## Topic overview
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+
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+ * Number of topics: 19
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+ * Number of training documents: 2933
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+
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+ <details>
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+ <summary>Click here for an overview of all topics.</summary>
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+
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+ | Topic ID | Topic Keywords | Topic Frequency | Label |
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+ |----------|----------------|-----------------|-------|
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+ | -1 | split - great - creatine - best - exercise | 37 | -1_split_great_creatine_best |
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+ | 0 | cable - just - exercise - exercises - lateral | 468 | 0_cable_just_exercise_exercises |
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+ | 1 | mike - dr - dr mike - darth - sith | 1267 | 1_mike_dr_dr mike_darth |
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+ | 2 | sets - protein - week - muscle - volume | 166 | 2_sets_protein_week_muscle |
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+ | 3 | deadlift - deadlifts - strength - hypertrophy - legs | 107 | 3_deadlift_deadlifts_strength_hypertrophy |
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+ | 4 | tier - list - accent - tier list - pencil | 95 | 4_tier_list_accent_tier list |
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+ | 5 | pistol - squats - pistol squats - squat - reverse | 80 | 5_pistol_squats_pistol squats_squat |
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+ | 6 | tier - deadlift tier - deadlift - sticky ricky - ricky | 79 | 6_tier_deadlift tier_deadlift_sticky ricky |
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+ | 7 | uncles - stamps - time stamps - comment - timestamps | 77 | 7_uncles_stamps_time stamps_comment |
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+ | 8 | sound - audio - ai - milo - sound effects | 75 | 8_sound_audio_ai_milo |
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+ | 9 | curl - incline - curls - preacher - preacher curl | 74 | 9_curl_incline_curls_preacher |
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+ | 10 | milo - dr milo - hear - ending - miew | 73 | 10_milo_dr milo_hear_ending |
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+ | 11 | leg - leg extension - extension - quads - quad | 54 | 11_leg_leg extension_extension_quads |
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+ | 12 | calf - calf raise - seated calf - seated - calves | 54 | 12_calf_calf raise_seated calf_seated |
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+ | 13 | partials - lengthened partials - lengthened - song - grandma | 50 | 13_partials_lengthened partials_lengthened_song |
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+ | 14 | wolf - dr wolf - meadows - meadows row - dr | 46 | 14_wolf_dr wolf_meadows_meadows row |
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+ | 15 | squats - squat - hack - sissy - sissy squats | 45 | 15_squats_squat_hack_sissy |
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+ | 16 | app - myoadapt - december - waiting - coming | 43 | 16_app_myoadapt_december_waiting |
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+ | 17 | mike - interviewing mike - bomb - interviewing - love mike | 43 | 17_mike_interviewing mike_bomb_interviewing |
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+
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+ </details>
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+
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+ ## Training hyperparameters
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+
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+ * calculate_probabilities: True
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+ * language: None
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+ * low_memory: False
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+ * min_topic_size: 10
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+ * n_gram_range: (1, 1)
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+ * nr_topics: None
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+ * seed_topic_list: None
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+ * top_n_words: 10
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+ * verbose: True
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+ * zeroshot_min_similarity: 0.7
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+ * zeroshot_topic_list: None
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+
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+ ## Framework versions
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+ * Numpy: 2.0.2
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+ * HDBSCAN: 0.8.40
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+ * UMAP: 0.5.7
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+ * Pandas: 2.2.2
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+ * Scikit-Learn: 1.6.1
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+ * Sentence-transformers: 3.4.1
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+ * Transformers: 4.50.2
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+ * Numba: 0.60.0
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+ * Plotly: 5.24.1
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+ * Python: 3.11.11
config.json ADDED
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+ "language": null,
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+ "n_gram_range": [
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+ 1,
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+ "nr_topics": null,
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+ "verbose": true,
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+ "embedding_model": "sentence-transformers/all-MiniLM-L6-v2"
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+ }
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+ size 875971
ctfidf_config.json ADDED
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topic_embeddings.bin ADDED
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topics.json ADDED
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