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Thang203
/
open-hdscan-april3

Text Classification
BERTopic
Model card Files Community
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Add BERTopic model

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Files changed (6) hide show
  1. README.md +80 -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 +4977 -0
README.md ADDED
@@ -0,0 +1,80 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ ---
3
+ tags:
4
+ - bertopic
5
+ library_name: bertopic
6
+ pipeline_tag: text-classification
7
+ ---
8
+
9
+ # open-hdscan-april3
10
+
11
+ This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
12
+ BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
13
+
14
+ ## Usage
15
+
16
+ To use this model, please install BERTopic:
17
+
18
+ ```
19
+ pip install -U bertopic
20
+ ```
21
+
22
+ You can use the model as follows:
23
+
24
+ ```python
25
+ from bertopic import BERTopic
26
+ topic_model = BERTopic.load("Thang203/open-hdscan-april3")
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+
28
+ topic_model.get_topic_info()
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+ ```
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+
31
+ ## Topic overview
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+
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+ * Number of topics: 11
34
+ * Number of training documents: 2779
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+
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+ <details>
37
+ <summary>Click here for an overview of all topics.</summary>
38
+
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+ | Topic ID | Topic Keywords | Topic Frequency | Label |
40
+ |----------|----------------|-----------------|-------|
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+ | -1 | models - language - model - llms - language models | 11 | -1_models_language_model_llms |
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+ | 0 | models - language - model - language models - llms | 792 | 0_models_language_model_language models |
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+ | 1 | code - models - llms - language - language models | 1082 | 1_code_models_llms_language |
44
+ | 2 | models - quantization - model - training - language | 311 | 2_models_quantization_model_training |
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+ | 3 | models - bias - text - language - biases | 297 | 3_models_bias_text_language |
46
+ | 4 | brain - models - language - heads - attention | 152 | 4_brain_models_language_heads |
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+ | 5 | hallucinations - hallucination - models - visual - large | 34 | 5_hallucinations_hallucination_models_visual |
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+ | 6 | music - audio - poetry - generation - model | 31 | 6_music_audio_poetry_generation |
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+ | 7 | financial - analysis - sentiment - investment - large | 30 | 7_financial_analysis_sentiment_investment |
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+ | 8 | editing - knowledge - model editing - editing methods - edit | 25 | 8_editing_knowledge_model editing_editing methods |
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+ | 9 | materials - molecular - chemical - chemistry - materials science | 14 | 9_materials_molecular_chemical_chemistry |
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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: False
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+ * language: english
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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: 11
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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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+
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+ * Numpy: 1.25.2
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+ * HDBSCAN: 0.8.33
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+ * UMAP: 0.5.6
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+ * Pandas: 2.0.3
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+ * Scikit-Learn: 1.2.2
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+ * Sentence-transformers: 2.6.1
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+ * Transformers: 4.38.2
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+ * Numba: 0.58.1
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+ * Plotly: 5.15.0
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+ * Python: 3.10.12
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topic_embeddings.bin ADDED
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