Get a Demo

Ai Model

google-bert/bert-large-uncased-whole-word-masking

Back to all
Ai Model

google-bert/bert-large-uncased-whole-word-masking

Hugging Face

Package Version Scores

Overall
7
/10
Security
5
Activity
9
Popularity
8
Quality
7
All Factors
Security
Activity
Popularity
Quality
Quality
Pull Requests from Bots
Pull requests from bot accounts indicate that the project is using automation for development tasks.
Quality
Pull Requests from Bots
Pull requests from bot accounts indicate that the project is using automation for development tasks.

Model Metadata

Model Size:
336226108
Tensor Type:
F32
Author:
google-bert
Last Modified:
Created:
Requires Authentication:
false
Gated:
false
Downloads:
6673
Library:
transformers
Likes:
21
Spaces Using Model:
shi-labs/Versatile-Diffusion, Yuliang/ECON, Awiny/Image2Paragraph, OpenGVLab/InternGPT, TencentARC/VLog, ynhe/AskAnything, ccolas/TastyPiano, HaloMaster/chinesesummary, dmolino/XGeM, merve/uncertainty-calibration, mazpie/genrl, merve/anonymization, merve/fill-in-the-blank, koajoel/PolyFormer, zjunlp/KGEditor, merve/dataset-worldviews, merve/measuring-fairness, Yiqin/ChatVID, hvaldez/SViTT-Ego_Action_Recognition, merve/measuring-diversity, merve/data-leak, merve/hidden-bias, mzltest/gpt2-chinese-composition, miculpionier/Fill-Mask, PHZane/emrwa, merve/private-and-fair, osanseviero/Versatile-Diffusion, MartinRages/Versatile-Diffusion, Wmcs91/Versatile-Diffusion, teddybearxzh/Versatile-Diffusion, ElixirRod/Versatile-Diffusion, TRaw/digital-alchemy, aodianyun/Image2Paragraph, mzltest/gpt2-2, adamtayzzz/test, Sirus1/Multimodal_Demo, yxchng/elia, yuaiyu/Versatile-Diffusion, shaojiang/wenyanwen, Cran-May/yugang-bert, hvaldez/SViTT-Ego_Multiple_Choice_Question, adamtayzzz/test_skim, Yashwanth-07/InternGPT, ychenhq/VideoCrafterXtend, okahiro1125/ECON, ndhieunguyen/Lang2mol-Diff, AstraTeam/astra, K00B404/Versatile-Diffusion-game-assets-gen, mucusz/ECON, DevTOpPLUG/InternGPT, asaduzzaman607/astra_v2
Tags:
transformers, pytorch, tf, jax, safetensors, bert, fill-mask, en, dataset:bookcorpus, dataset:wikipedia, arxiv:1810.04805, license:apache-2.0, endpoints_compatible, deploy:azure, region:us

Secure your AI-native apps

Map your AI attack surface
Map AI models, APIs, and dependencies
Continuously assess AI models for risks
Enforce policies for secure AI adoption

References

Basic Information

Release Date
License
apache-2.0

Secure your AI-native apps

Discover and assess all AI models, APIs, and dependencies in your code.
Map your AI attack surface