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gpt2-chinese-couplet

Text Generation
Transformers
PyTorch
TensorFlow
JAX
Chinese
gpt2
text-generation-inference
Inference Endpoints
Model card Files Community
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@@ -49,7 +49,7 @@ Models are pre-trained by [UER-py](https://github.com/dbiir/UER-py/) on [Tencent
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  ```
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  python3 preprocess.py --corpus_path corpora/couplet.txt \
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- --vocab_path models/google_zh_vocab.txt \
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  --dataset_path couplet_dataset.pt --processes_num 16 \
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  --seq_length 64 --target lm
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  ```
@@ -57,7 +57,7 @@ python3 preprocess.py --corpus_path corpora/couplet.txt \
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  ```
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  python3 pretrain.py --dataset_path couplet_dataset.pt \
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  --vocab_path models/google_zh_vocab.txt \
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- --output_model_path models/couplet_gpt2_base_model.bin \
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  --config_path models/bert_base_config.json \
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  --tie_weight --world_size 8 --gpu_ranks 0 1 2 3 4 5 6 7 \
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  --total_steps 25000 --save_checkpoint_steps 5000 --report_steps 1000 \
 
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  ```
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  python3 preprocess.py --corpus_path corpora/couplet.txt \
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+ --vocab_path models/google_zh_vocab.txt \
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  --dataset_path couplet_dataset.pt --processes_num 16 \
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  --seq_length 64 --target lm
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  ```
 
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  ```
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  python3 pretrain.py --dataset_path couplet_dataset.pt \
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  --vocab_path models/google_zh_vocab.txt \
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+ --output_model_path models/couplet_gpt2_base_model.bin \
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  --config_path models/bert_base_config.json \
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  --tie_weight --world_size 8 --gpu_ranks 0 1 2 3 4 5 6 7 \
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  --total_steps 25000 --save_checkpoint_steps 5000 --report_steps 1000 \