google-research/bert
bert
TensorFlow code and pre-trained models for BERT
Builder
google-research
google-research • individual
Stars
39,950
Using upstream star count
Forks
9,700
Using upstream fork count
Open Issues
0
Activity Score
0/100
0 commits in 30d
Created
Oct 25, 2018
Project creation date
README Summary
BERT (Bidirectional Encoder Representations from Transformers) is a method of pre-training language representations which obtains state-of-the-art results on a wide array of Natural Language Processing tasks. This repository contains TensorFlow implementation and pre-trained models that can be fine-tuned for various downstream tasks. The models are trained on large amounts of text data and can understand context from both directions in a sentence.
AI Dev Skills
Unmapped
Tags
Taxonomy
Deployment Context
Modalities
Skill Areas
Recent Activity
Updated 1 years ago
7 Days
0
30 Days
0
90 Days
0
Quality
production- Quality
- high
- Maturity
- production
Categories
PM Skills
Languages
Timeline
- Project created
- Oct 25, 2018
- Forked
- Mar 22, 2026
- Your last push
- 1 years ago
- Upstream last push
- 1 years ago
- Tracked since
- Jul 23, 2024
Similar Repos
pgvector cosine similarity · $0
Loading…