文件列表:

examples/ (0, 2023-12-27)
examples/api/ (0, 2023-12-27)
examples/api/data/ (0, 2023-12-27)
examples/api/data/data_collator/ (0, 2023-12-27)
examples/api/data/data_collator/data_collator_with_padding.py (1538, 2023-12-27)
examples/api/models/ (0, 2023-12-27)
examples/api/models/bert/ (0, 2023-12-27)
examples/api/models/bert/tokenization/ (0, 2023-12-27)
examples/api/models/bert/tokenization/question_answering.py (2099, 2023-12-27)
examples/api/models/bert/tokenization/tokenization.py (908, 2023-12-27)
examples/api/models/bert/tokenization1.py (1621, 2023-12-27)
examples/api/models/bert/tokenization2.py (1440, 2023-12-27)
examples/conversational/ (0, 2023-12-27)
examples/conversational/chinese_chitchat/ (0, 2023-12-27)
examples/conversational/chinese_chitchat/step_1_prepare_data.py (2365, 2023-12-27)
examples/conversational/chinese_chitchat/step_2_train_model.py (8173, 2023-12-27)
examples/conversational/few_shot_intent/ (0, 2023-12-27)
examples/conversational/few_shot_intent/step_1_prepare_data.py (2152, 2023-12-27)
examples/conversational/few_shot_intent/step_2_train_model.py (9083, 2023-12-27)
examples/conversational/few_shot_intent/step_3_test_model.py (3525, 2023-12-27)
examples/conversational/few_shot_intent/step_4_test_log_prob.py (4847, 2023-12-27)
examples/conversational/few_shot_ner/ (0, 2023-12-27)
examples/conversational/few_shot_ner/step_1_prepare_data.py (2849, 2023-12-27)
examples/conversational/few_shot_ner/step_2_train_model.py (9223, 2023-12-27)
examples/conversational/few_shot_ner/step_3_test_model.py (3525, 2023-12-27)
examples/conversational/few_shot_ner/step_4_test_log_prob.py (4847, 2023-12-27)
examples/conversational/lip_service_4chan/ (0, 2023-12-27)
examples/conversational/lip_service_4chan/run.sh (5610, 2023-12-27)
examples/conversational/lip_service_4chan/step_1_prepare_data.py (2043, 2023-12-27)
examples/conversational/lip_service_4chan/step_2_train_model.py (8215, 2023-12-27)
examples/conversational/lip_service_4chan/step_3_test_model.py (3668, 2023-12-27)
examples/conversational/lip_service_4chan/stop.sh (207, 2023-12-27)
examples/conversational/lip_service_4chan_kaggle/ (0, 2023-12-27)
examples/conversational/lip_service_4chan_kaggle/step_1_prepare_data.py (1784, 2023-12-27)
examples/conversational/lip_service_4chan_kaggle/step_2_train_model.py (8460, 2023-12-27)
examples/conversational/lip_service_4chan_kaggle/stop.sh (207, 2023-12-27)
examples/conversational/open_delta/ (0, 2023-12-27)
examples/conversational/open_delta/step_0_basic.py (1289, 2023-12-27)
... ...

## Transformers ```text 教程: https://huggingface.co/docs/transformers/index https://www.gradio.app/guides/key-features https://github.com/huggingface/transformers ``` ### 安装环境 ```shell wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh ``` 下载 Miniconda3安装包. ```text bash Miniconda3-latest-Linux-x86_64.sh ``` 执行安装, 按提示步骤安装. ```shell conda create --name Transformers python=3.8 ``` 创建虚拟环境. ```shell conda info --envs ``` 查看有哪些虚拟环境. ```shell conda activate Transformers ``` 激活环境. (创建环境后, 可能需要重启 Terminal).

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