TencentPretrain
Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo
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Decision brief
TencentPretrain is a PyTorch-based framework for pre-training models and includes a model zoo with multiple architectures.
- Pricing:
- unknown - The pricing details are not explicitly mentioned in the provided repository content.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Install
pip install TencentPretrainSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A comprehensive pre-training framework and model zoo for various natural language processing tasks using PyTorch.
Capability facts
- Languages
- python
Source: github.language · Aug 24, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
Requirements
- Python >= 3.6
- torch >= 1.1
- six >= 1.12.0
- argparse
- packaging
- regex
- For the pre-trained model conversion (related with TensorFlow) you will need TensorFlow
- For the tokenization with sentencepiece model you will need SentencePiece
- For developing a stacking model you will need LightGBM and BayesianOptimization
- For the pre-training with whole word masking you will need word segmentation tool such as jieba
- For the use of CRF in sequence labeling downstream task you will need pytorch-crf
- For the gigantic model training you will need DeepSpeed
- For the vision model training you will need torchvision
- For the audio model training you will need torchaudio, and opencv-python is needed for some special settings of specaugment, and editdistance is needed when finetuning a speech2text model
For agents
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