Keras ERNIE
Project description
keras ERNIE
Pre-trained ERNIE models could be loaded for feature extraction and prediction.
Install
pip install keras-ernie
Usage
- Download pre-trained ERNIE models
- Load the pre-trained ERNIE models
- Convert pre-trained ERNIE model to Tensor model
Download Pre-trained ERNIE Models
Notes: Currently, only the following models are supported.
Model | Description |
---|---|
ERNIE 1.0 Base for Chinese | with params, config and vocabs |
ERNIE 1.0 Base for Chinese(max-len-512) | with params, config and vocabs |
ERNIE 2.0 Base for English | with params, config and vocabs |
Load Pre-trained ERNIE Models
import os
from keras_ernie import load_from_checkpoint
ernie_path = "/root/ERNIE_stable-1.0.1"
init_checkpoint = os.path.join(ernie_path, 'params')
ernie_config_path = os.path.join(ernie_path, 'ernie_config.json')
ernie_vocab_path = os.path.join(ernie_path, 'vocab.txt')
ernie_version = "stable-1.0.1"
model = load_from_checkpoint(init_checkpoint, ernie_config_path, ernie_vocab_path, ernie_version,
max_seq_len=128, num_labels=2, use_fp16=False, use_gpu=True, gpu_memory_growth=False,
training=False, seq_len=None, name='ernie')
model.summary()
Convert Pre-trained ERNIE Model To Tensor Model
python paddle_to_tensor.py \
--init_checkpoint ${MODEL_PATH}/params \
--ernie_config_path ${MODEL_PATH}/ernie_config.json \
--ernie_vocab_path ${MODEL_PATH}/vocab.txt \
--ernie_version stable-1.0.1 \
--max_seq_len 128 \
--num_labels 2 \
--use_fp16 false \
--use_gpu true \
--gpu_memory_growth false \
Project details
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keras-ernie-1.0.4.tar.gz
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