Chrislab

- Merge ratsnlp into chrislab!
- Merge flask_ngrok into chrislab!

- Update MyFinetuner:
- Use include_cuda_bin_dir() instead include_cuda_dir()

- Update ClassificationTrainArguments:
- Rename members: pretrained_model_name, downstream_corpus_root_dir, downstream_corpus_name, downstream_model_dir, downstream_model_filename

- Update GpuProjectEnv:
- Remove members: config_file, postfix, apply_postfix()
- Inherited from BaseProjectEnv
- Remove __enter__(), __exit__()

- Update train():
- Use updated ClassificationTrainArguments
- Update serve():
- Use updated ClassificationDeployArguments
- Implement remainder

- Move functions from chrisbase to chrislab:
- include_cuda_bin_dir()
- working_gpus()
- set_torch_ext_path()
- set_tokenizers_parallelism()

- Use JobTimer instead MyTimer
- Update GpuProjectEnv class:
- Remove members: cuda_home_dir, torch_cuda_ver
- Add members: config_file, postfix
- Add apply_postfix()
- Add chrislab.ratsnlp package
- Add cli module: check(), train(), apply()

- Use chrisbase 0.2.0
- Rename chrislab.NLU -> chrislab.language
- Add num_cuda_devices()
- Add GpuProjectEnv dataclass

- Add modeling.py:
- HeadModel -> BertHeadModel
- new T5HeadModel
- Update finetuner.py:
- finetuning_model is initialized by finetuning_class
- Update downloader.py
- download_public_dataset
- download_public_task_data
- reload_public_dataset
- reload_public_task_data

- Use load_dataset with download_mode option