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1M_bert

Jellywibble / 1M_bert

Run on huggingface.co
huggingface.co
Total runs: 10
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: February 18 2024
text-classification

Introduction of 1M_bert

Model Details of 1M_bert

1M_bert

This is a 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: 

from bertopic import BERTopic
topic_model = BERTopic.load("Jellywibble/1M_bert")

topic_model.get_topic_info()
Topic overview
  • Number of topics: 20
  • Number of training documents: 1000000
Click here for an overview of all topics.
Topic ID Topic Keywords Topic Frequency Label
0 you - the - to - user - bot 201385 0_you_the_to_user
1 his - he - you - your - bot 182561 1_his_he_you_your
2 her - she - you - to - user 99643 2_her_she_you_to
3 his - he - you - to - the 97803 3_his_he_you_to
4 her - she - you - user - your 55073 4_her_she_you_user
5 his - he - you - to - the 49339 5_his_he_you_to
6 her - she - to - the - you 48030 6_her_she_to_the
7 his - he - you - the - to 46294 7_his_he_you_the
8 the - you - to - and - user 40228 8_the_you_to_and
9 his - he - you - the - to 35152 9_his_he_you_the
10 his - he - you - to - the 23293 10_his_he_you_to
11 his - he - you - the - to 23158 11_his_he_you_the
12 you - hoshi - to - her - the 18615 12_you_hoshi_to_her
13 his - jack - he - elijah - you 16377 13_his_jack_he_elijah
14 his - he - you - the - to 12291 14_his_he_you_the
15 tom - his - he - you - to 11575 15_tom_his_he_you
16 his - he - max - you - the 11396 16_his_he_max_you
17 liam - damien - he - his - you 9937 17_liam_damien_he_his
18 felix - his - he - the - you 9730 18_felix_his_he_the
19 ghost - his - he - you - the 8120 19_ghost_his_he_you
Training hyperparameters
  • calculate_probabilities: False
  • language: multilingual
  • low_memory: False
  • min_topic_size: 10
  • n_gram_range: (1, 1)
  • nr_topics: None
  • seed_topic_list: None
  • top_n_words: 10
  • verbose: True
  • zeroshot_min_similarity: 0.7
  • zeroshot_topic_list: None
Framework versions
  • Numpy: 1.23.1
  • HDBSCAN: 0.8.33
  • UMAP: 0.5.5
  • Pandas: 1.3.5
  • Scikit-Learn: 1.3.2
  • Sentence-transformers: 2.3.1
  • Transformers: 4.37.2
  • Numba: 0.58.1
  • Plotly: 5.19.0
  • Python: 3.8.10

Runs of Jellywibble 1M_bert on huggingface.co

10
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs

More Information About 1M_bert huggingface.co Model

1M_bert huggingface.co

1M_bert huggingface.co is an AI model on huggingface.co that provides 1M_bert's model effect (), which can be used instantly with this Jellywibble 1M_bert model. huggingface.co supports a free trial of the 1M_bert model, and also provides paid use of the 1M_bert. Support call 1M_bert model through api, including Node.js, Python, http.

1M_bert huggingface.co Url

https://huggingface.co/Jellywibble/1M_bert

Jellywibble 1M_bert online free

1M_bert huggingface.co is an online trial and call api platform, which integrates 1M_bert's modeling effects, including api services, and provides a free online trial of 1M_bert, you can try 1M_bert online for free by clicking the link below.

Jellywibble 1M_bert online free url in huggingface.co:

https://huggingface.co/Jellywibble/1M_bert

1M_bert install

1M_bert is an open source model from GitHub that offers a free installation service, and any user can find 1M_bert on GitHub to install. At the same time, huggingface.co provides the effect of 1M_bert install, users can directly use 1M_bert installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

1M_bert install url in huggingface.co:

https://huggingface.co/Jellywibble/1M_bert

Url of 1M_bert

Provider of 1M_bert huggingface.co

Jellywibble
ORGANIZATIONS
huggingface.co

Other API from Jellywibble

 huggingface.co
Jellywibble/test

Total runs: 6
Run Growth: 0
Growth Rate: 0.00%
Updated:June 09 2024