Add BERTopic model

README.md

@@ -0,0 +1,77 @@
+
+---
+tags:
+- bertopic
+library_name: bertopic
+pipeline_tag: text-classification
+---
+
+# bertopic-test_1010
+
+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("ahessamb/bertopic-test_1010")
+
+topic_model.get_topic_info()
+```
+
+## Topic overview
+
+* Number of topics: 10
+* Number of training documents: 1570
+
+<details>
+  <summary>Click here for an overview of all topics.</summary>
+  
+  | Topic ID | Topic Keywords | Topic Frequency | Label | 
+|----------|----------------|-----------------|-------| 
+| 0 | ethereum - listings - market - eth - binance | 173 | 0_ethereum_listings_market_eth | 
+| 1 | xrp - ripple - crypto - mekras - sbi | 93 | 1_xrp_ripple_crypto_mekras | 
+| 2 | peaq - blockchain - nft - opensea - ordibots | 226 | 2_peaq_blockchain_nft_opensea | 
+| 3 | crypto - regulatory - securities - coinbase - lawsuit | 204 | 3_crypto_regulatory_securities_coinbase | 
+| 4 | binance - exchange - securities - sec - letter | 116 | 4_binance_exchange_securities_sec | 
+| 5 | mutant - mayc - bayc - club - mcmullen | 95 | 5_mutant_mayc_bayc_club | 
+| 6 | tether - yuan - games - bitcoin - cbdcs | 211 | 6_tether_yuan_games_bitcoin | 
+| 7 | crypto - bills - exponential - markets - liquidity | 140 | 7_crypto_bills_exponential_markets | 
+| 8 | ada - cardano - litecoin - resistance - market | 214 | 8_ada_cardano_litecoin_resistance | 
+| 9 | shib - doge - shiba - sentiment - market | 98 | 9_shib_doge_shiba_sentiment |
+  
+</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
+
+## Framework versions
+
+* Numpy: 1.22.4
+* HDBSCAN: 0.8.29
+* UMAP: 0.5.3
+* Pandas: 1.5.3
+* Scikit-Learn: 1.2.2
+* Sentence-transformers: 2.2.2
+* Transformers: 4.30.2
+* Numba: 0.56.4
+* Plotly: 5.13.1
+* Python: 3.10.12

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
+}

topic_embeddings.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:803169a3e2743ce0384ae28f6d4321074ac33e5a4bc27c5f80f7cf438b43aadb
+size 15448

topics.json

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+{
+  "topic_representations": {
+    "0": [
+      [
+        "ethereum",
+        0.046129804714292524
+      ],
+      [
+        "listings",
+        0.03223791936718045
+      ],
+      [
+        "market",
+        0.024916216748280894
+      ],
+      [
+        "eth",
+        0.024005337057219134
+      ],
+      [
+        "binance",
+        0.018741447261591455
+      ],
+      [
+        "matic",
+        0.017293824096300873
+      ],
+      [
+        "coinbase",
+        0.01706178857640577
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+      [
+        "losses",
+        0.015222332696162577
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+      [
+        "decline",
+        0.01517313424521243
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+      [
+        "exchange",
+        0.013468513921664484
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+        0.175004400598629
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+      [
+        "ripple",
+        0.07846181679230964
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+      [
+        "crypto",
+        0.05257270001190257
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+      [
+        "mekras",
+        0.052539748452719505
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+      [
+        "sbi",
+        0.04155036718350072
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+      [
+        "banks",
+        0.03211334471665574
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+      [
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+        0.026273402275840976
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+      [
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+      [
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+        0.019266929294350334
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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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+        0.016096898560113173
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+      [
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+        0.015111848141772124
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+      [
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+      [
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+        0.01811756128826572
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+      [
+        "eth",
+        0.017851904416778714
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+      [
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+        0.015169820933652593
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+      [
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+      [
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+      [
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+      [
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+      [
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+        0.0399496688176326
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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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+      [
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+      [
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+      [
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+      [
+        "crypto",
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+        0.06481302631590606
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+      [
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+      [
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+      [
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+      [
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+    "8": [
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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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+    "9": [
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+      [
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+      [
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+      [
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+  },
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