accelerate
addict

# for modelscope
cloudpickle
datasets==2.21.0
decord>=0.6.0
diffusers
ftfy>=6.0.3
librosa==0.10.1
modelscope[multi-modal]
numpy
opencv-python
oss2
pandas
pillow
# compatible with taming-transformers-rom1504
rapidfuzz
# rough-score was just recently updated from 0.0.4 to 0.0.7
# which introduced compatability issues that are being investigated
rouge_score<=0.0.4
safetensors
simplejson
sortedcontainers
# scikit-video
soundfile
taming-transformers-rom1504
tiktoken
timm
tokenizers
torchvision
tqdm
transformers
transformers_stream_generator
unicodedata2
wandb
zhconv
# fairseq   need to be build from source code: https://github.com/facebookresearch/fairseq