Add BERTopic model

README.md

@@ -0,0 +1,74 @@
+
+---
+tags:
+- bertopic
+library_name: bertopic
+pipeline_tag: text-classification
+---
+
+# rag-topic-model
+
+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("3lv27/rag-topic-model")
+
+topic_model.get_topic_info()
+```
+
+## Topic overview
+
+* Number of topics: 5
+* Number of training documents: 201
+
+<details>
+  <summary>Click here for an overview of all topics.</summary>
+  
+  | Topic ID | Topic Keywords | Topic Frequency | Label | 
+|----------|----------------|-----------------|-------| 
+| -1 | my - for - was - payment - it | 17 | -1_my_for_was_payment | 
+| 0 | refund - nike - my - store - for | 41 | 0_refund_nike_my_store | 
+| 1 | my - the - payment - app - balance | 72 | 1_my_the_payment_app | 
+| 2 | to - email - my - account - the | 37 | 2_to_email_my_account | 
+| 3 | card - klarna - details - to - do | 34 | 3_card_klarna_details_to |
+  
+</details>
+
+## Training hyperparameters
+
+* calculate_probabilities: False
+* language: None
+* low_memory: False
+* min_topic_size: 10
+* n_gram_range: (1, 1)
+* nr_topics: None
+* seed_topic_list: None
+* top_n_words: 10
+* verbose: False
+* zeroshot_min_similarity: 0.7
+* zeroshot_topic_list: None
+
+## Framework versions
+
+* Numpy: 2.0.2
+* HDBSCAN: 0.8.40
+* UMAP: 0.5.7
+* Pandas: 2.2.3
+* Scikit-Learn: 1.6.1
+* Sentence-transformers: 3.1.1
+* Transformers: 4.45.2
+* Numba: 0.60.0
+* Plotly: 6.0.0
+* Python: 3.9.6

config.json

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+{
+  "calculate_probabilities": false,
+  "language": null,
+  "low_memory": false,
+  "min_topic_size": 10,
+  "n_gram_range": [
+    1,
+    1
+  ],
+  "nr_topics": null,
+  "seed_topic_list": null,
+  "top_n_words": 10,
+  "verbose": false,
+  "zeroshot_min_similarity": 0.7,
+  "zeroshot_topic_list": null
+}

topic_embeddings.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c27b5e6df023ab7f9dedbc8f97404369bc96ccf7f2c9db8d46cf3db2d1de6a2c
+size 7768

topics.json

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+{
+  "topic_representations": {
+    "-1": [
+      [
+        "my",
+        0.08775779807973855
+      ],
+      [
+        "for",
+        0.06628866977236048
+      ],
+      [
+        "was",
+        0.0505320178930812
+      ],
+      [
+        "payment",
+        0.05018037484356471
+      ],
+      [
+        "it",
+        0.04942005954395189
+      ],
+      [
+        "to",
+        0.04929466805752189
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+      [
+        "account",
+        0.045642695509656085
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+      [
+        "klarna",
+        0.04515498165514218
+      ],
+      [
+        "and",
+        0.044068215235971195
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+      [
+        "why",
+        0.04301226356649548
+      ]
+    ],
+    "0": [
+      [
+        "refund",
+        0.1006554344591509
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+      [
+        "nike",
+        0.0794181762787875
+      ],
+      [
+        "my",
+        0.06926034602939844
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+      [
+        "store",
+        0.06749123928041868
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+      [
+        "for",
+        0.06711649471397088
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+      [
+        "returned",
+        0.06633459185101365
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+      [
+        "to",
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+      [
+        "credit",
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+      [
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+        0.04873599925968905
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+      [
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+      [
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+      [
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+      [
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+      [
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+      [
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+      [
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+      [
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+      [
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+      [
+        "im",
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+      [
+        "klarna",
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+      [
+        "and",
+        0.05775189684191339
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+      [
+        "cant",
+        0.05541270860895539
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+      [
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+        0.0497815437815026
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+    "3": [
+      [
+        "card",
+        0.18303800934636058
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+      [
+        "klarna",
+        0.13514451506438238
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+      [
+        "details",
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+      [
+        "to",
+        0.09166646868868897
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+      [
+        "do",
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+      [
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+        0.0880444369842009
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+      [
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+      [
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+      [
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+      [
+        "gave",
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+    ]
+  },
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+    "0": "0_refund_nike_my_store",
+    "1": "1_my_the_payment_app",
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+    "3": "3_card_klarna_details_to"
+  },
+  "custom_labels": null,
+  "_outliers": 1,
+  "topic_aspects": {}
+}