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Thang203
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open-mar11

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BERTopic
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  1. README.md +89 -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 +5735 -0
README.md ADDED
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1
+
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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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+ ---
8
+
9
+ # open-mar11
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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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+
14
+ ## Usage
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+
16
+ To use this model, please install BERTopic:
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+
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+ ```
19
+ 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("Thang203/open-mar11")
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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: 20
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+ * Number of training documents: 2109
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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 | models - language - model - language models - tasks | 11 | -1_models_language_model_language models |
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+ | 0 | models - language - model - language models - data | 498 | 0_models_language_model_language models |
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+ | 1 | visual - multimodal - image - images - video | 573 | 1_visual_multimodal_image_images |
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+ | 2 | reasoning - models - questions - question - language | 149 | 2_reasoning_models_questions_question |
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+ | 3 | attacks - attack - adversarial - models - safety | 127 | 3_attacks_attack_adversarial_models |
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+ | 4 | code - code generation - generation - models - llms | 116 | 4_code_code generation_generation_models |
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+ | 5 | quantization - memory - inference - gpu - models | 99 | 5_quantization_memory_inference_gpu |
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+ | 6 | medical - clinical - llms - models - language | 85 | 6_medical_clinical_llms_models |
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+ | 7 | llms - language - planning - models - human | 78 | 7_llms_language_planning_models |
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+ | 8 | detection - text - data - generated - models | 73 | 8_detection_text_data_generated |
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+ | 9 | knowledge - graph - graphs - language - sql | 48 | 9_knowledge_graph_graphs_language |
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+ | 10 | bias - biases - gender - models - language | 46 | 10_bias_biases_gender_models |
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+ | 11 | recommendation - ranking - retrieval - reranking - item | 44 | 11_recommendation_ranking_retrieval_reranking |
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+ | 12 | pruning - lora - finetuning - sparsity - parameters | 42 | 12_pruning_lora_finetuning_sparsity |
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+ | 13 | music - poetry - generation - poems - audio | 28 | 13_music_poetry_generation_poems |
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+ | 14 | brain - language - models - attention - processing | 24 | 14_brain_language_models_attention |
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+ | 15 | hallucinations - hallucination - models - large - lvlms | 23 | 15_hallucinations_hallucination_models_large |
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+ | 16 | circuit - heads - interpretability - mechanistic - mechanistic interpretability | 20 | 16_circuit_heads_interpretability_mechanistic |
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+ | 17 | financial - analysis - chinese - financial domain - news | 13 | 17_financial_analysis_chinese_financial domain |
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+ | 18 | sentiment - sentiment analysis - reviews - analysis - aspect | 12 | 18_sentiment_sentiment analysis_reviews_analysis |
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+
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+ </details>
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