bert huggingface.co api & ethanpai bert github AI Model

Introduction of bert

Model Details of bert

BERTopic model card bias topic model

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("davanstrien/BERTopic_model_card_bias")

topic_model.get_topic_info()

Topic overview

Number of topics: 11
Number of training documents: 1271

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	evaluation - claim - reasoning - parameters - university	13	-1_evaluation_claim_reasoning_parameters
0	checkpoint - fairly - characterized - even - sectionhttpshuggingfacecobertbaseuncased	13	0_checkpoint_fairly_characterized_even
1	generative - research - uses - processes - artistic	137	1_generative_research_uses_processes
2	checkpoint - try - snippet - sectionhttpshuggingfacecobertbaseuncased - limitation	48	2_checkpoint_try_snippet_sectionhttpshuggingfacecobertbaseuncased
3	meant - technical - sociotechnical - convey - needed	32	3_meant_technical_sociotechnical_convey
4	gpt2 - team - their - cardhttpsgithubcomopenaigpt2blobmastermodelcardmd - worked	32	4_gpt2_team_their_cardhttpsgithubcomopenaigpt2blobmastermodelcardmd
5	datasets - internet - unfiltered - therefore - lot	27	5_datasets_internet_unfiltered_therefore
6	dacy - danish - pipelines - transformer - bert	25	6_dacy_danish_pipelines_transformer
7	your - pythia - branch - checkpoints - provide	20	7_your_pythia_branch_checkpoints
8	opt - trained - large - software - code	15	8_opt_trained_large_software
9	al - et - identity - occupational - groups	15	9_al_et_identity_occupational

Training hyperparameters

calculate_probabilities: False
language: english
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: 4.29.0
Numba: 0.56.4
Plotly: 5.13.1
Python: 3.10.11

Runs of ethanpai bert on huggingface.co

Total runs

24-hour runs

3-day runs

7-day runs

30-day runs

More Information About bert huggingface.co Model

More bert license Visit here:

https://choosealicense.com/licenses/mit

bert huggingface.co

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

bert huggingface.co Url

https://huggingface.co/ethanpai/bert

ethanpai bert online free

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

ethanpai bert online free url in huggingface.co:

https://huggingface.co/ethanpai/bert

bert install

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