Add BERTopic model

README.md

@@ -0,0 +1,80 @@
+
+---
+tags:
+- bertopic
+library_name: bertopic
+pipeline_tag: text-classification
+---
+
+# general-april-3
+
+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("Thang203/general-april-3")
+
+topic_model.get_topic_info()
+```
+
+## Topic overview
+
+* Number of topics: 11
+* Number of training documents: 6795
+
+<details>
+  <summary>Click here for an overview of all topics.</summary>
+  
+  | Topic ID | Topic Keywords | Topic Frequency | Label | 
+|----------|----------------|-----------------|-------| 
+| 0 | financial - legal - summarization - models - llms | 251 | 0_financial_legal_summarization_models | 
+| 1 | reasoning - models - language - llms - language models | 887 | 1_reasoning_models_language_llms | 
+| 2 | models - llms - attacks - attack - language | 467 | 2_models_llms_attacks_attack | 
+| 3 | models - model - training - language - inference | 528 | 3_models_model_training_language | 
+| 4 | language - models - llms - human - model | 638 | 4_language_models_llms_human | 
+| 5 | medical - clinical - models - language - llms | 524 | 5_medical_clinical_models_language | 
+| 6 | visual - multimodal - models - image - language | 630 | 6_visual_multimodal_models_image | 
+| 7 | code - generation - code generation - llms - models | 417 | 7_code_generation_code generation_llms | 
+| 8 | models - language - language models - model - llms | 1232 | 8_models_language_language models_model | 
+| 9 | chatgpt - ai - students - education - generative | 542 | 9_chatgpt_ai_students_education | 
+| 10 | models - chatgpt - language - ai - llms | 679 | 10_models_chatgpt_language_ai |
+  
+</details>
+
+## Training hyperparameters
+
+* calculate_probabilities: False
+* language: english
+* low_memory: False
+* min_topic_size: 10
+* n_gram_range: (1, 1)
+* nr_topics: 11
+* seed_topic_list: None
+* top_n_words: 10
+* verbose: True
+* zeroshot_min_similarity: 0.7
+* zeroshot_topic_list: None
+
+## Framework versions
+
+* Numpy: 1.25.2
+* HDBSCAN: 0.8.33
+* UMAP: 0.5.6
+* Pandas: 2.0.3
+* Scikit-Learn: 1.2.2
+* Sentence-transformers: 2.6.1
+* Transformers: 4.38.2
+* Numba: 0.58.1
+* Plotly: 5.15.0
+* Python: 3.10.12

config.json

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+{
+  "calculate_probabilities": false,
+  "language": "english",
+  "low_memory": false,
+  "min_topic_size": 10,
+  "n_gram_range": [
+    1,
+    1
+  ],
+  "nr_topics": 11,
+  "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 4593027

topic_embeddings.bin

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topics.json

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