Commit
·
3cb03ca
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Parent(s):
f466228
Add BERTopic model
Browse files- README.md +71 -0
- config.json +14 -0
- topic_embeddings.safetensors +3 -0
- topics.json +231 -0
README.md
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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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# string2-string
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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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## Usage
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To use this model, please install BERTopic:
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```
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pip install -U bertopic
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```
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You can use the model as follows:
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```python
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from bertopic import BERTopic
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topic_model = BERTopic.load("syntag/string2-string")
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topic_model.get_topic_info()
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```
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## Topic overview
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* Number of topics: 4
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* Number of training documents: 20
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<details>
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<summary>Click here for an overview of all topics.</summary>
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| Topic ID | Topic Keywords | Topic Frequency | Label |
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|----------|----------------|-----------------|-------|
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| 0 | life - make - adulting - worm - gives | 7 | 0_life_make_adulting_worm |
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| 1 | like - bar - walk - matter - coding | 7 | 1_like_bar_walk_matter |
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| 2 | break - version - vacation - told - succeed | 3 | 2_break_version_vacation_told |
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| 3 | don - skeletons - shame - scientists - parallel | 3 | 3_don_skeletons_shame_scientists |
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</details>
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## Training hyperparameters
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* calculate_probabilities: False
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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: False
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## Framework versions
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* Numpy: 1.24.4
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* HDBSCAN: 0.8.33
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* UMAP: 0.5.4
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* Pandas: 2.0.3
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* Scikit-Learn: 1.3.1
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* Sentence-transformers: 2.2.2
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* Transformers: 4.34.1
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* Numba: 0.58.1
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* Plotly: 5.17.0
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* Python: 3.10.12
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config.json
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{
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"calculate_probabilities": false,
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"language": null,
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"low_memory": false,
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"min_topic_size": 10,
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"n_gram_range": [
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1,
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1
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],
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"nr_topics": null,
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"seed_topic_list": null,
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"top_n_words": 10,
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"verbose": false
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}
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topic_embeddings.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0092a325c627101220eb2a6189f8efc5488d21465b923a63fc2a4a548fad8629
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size 6232
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topics.json
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{
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"topic_representations": {
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"0": [
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[
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"life",
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],
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[
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"make",
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],
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[
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"adulting",
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],
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[
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"worm",
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],
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[
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"gives",
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],
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[
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"dough",
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],
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[
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"fox",
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"jar",
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[
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"kneaded",
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"dog",
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]
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],
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"1": [
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[
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"like",
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],
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"bar",
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"walk",
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"matter",
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"bugs",
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"javascript",
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"world",
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"way",
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"2": [
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"version",
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},
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"topics": [
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],
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"topic_sizes": {
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"0": 7,
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"1": 7,
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"2": 3,
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"3": 3
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},
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"topic_mapper": [
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[
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]
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],
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"topic_labels": {
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"0": "0_life_make_adulting_worm",
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"1": "1_like_bar_walk_matter",
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"2": "2_break_version_vacation_told",
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"3": "3_don_skeletons_shame_scientists"
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},
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"custom_labels": null,
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"_outliers": 0,
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"topic_aspects": {}
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}
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