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Author:
MosaicML
Summary:
Streaming lets users create PyTorch compatible datasets that can be streamed from cloud-based object stores
Latest version:
0.11.0
Required dependencies:
azure-identity
|
azure-storage-blob
|
azure-storage-file-datalake
|
boto3
|
brotli
|
catalogue
|
google-cloud-storage
|
matplotlib
|
numpy
|
oci
|
paramiko
|
python-snappy
|
torch
|
torchvision
|
tqdm
|
transformers
|
xxhash
|
zstd
Optional dependencies:
alipcs-py
|
altair
|
databricks-sdk
|
datasets
|
docformatter
|
docutils
|
fastapi
|
furo
|
gitpython
|
huggingface_hub
|
humanize
|
jupyter
|
mosaicml-cli
|
moto
|
myst-parser
|
nbsphinx
|
omegaconf
|
pandas
|
pandoc
|
pre-commit
|
pyarrow
|
pydantic
|
pypandoc
|
pyspark
|
pytest
|
pytest-cov
|
pytest-split
|
pytest_codeblocks
|
pyyaml
|
sortedcollections
|
sphinx
|
sphinx-argparse
|
sphinx-copybutton
|
sphinx-tabs
|
sphinxcontrib-applehelp
|
sphinxcontrib-devhelp
|
sphinxcontrib-htmlhelp
|
sphinxcontrib-qthelp
|
sphinxcontrib-serializinghtml
|
sphinxcontrib.katex
|
streamlit
|
toml
|
uvicorn
|
wandb
|
yamllint
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