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text-emotion-classification

Text Classification
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Chinese
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emotion
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text-emotion-classification
File size: 3,807 Bytes
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name: text-emotion-classification
channels:
  - conda-forge
  - defaults
dependencies:
  - asttokens=3.0.1
  - blas=1.0
  - boto3=1.42.34
  - botocore=1.42.34
  - bottleneck=1.4.2
  - brotlicffi=1.2.0.0
  - bzip2=1.0.8
  - ca-certificates=2026.1.4
  - cairo=1.18.4
  - certifi=2026.01.04
  - cffi=2.0.0
  - charset-normalizer=3.4.4
  - colorama=0.4.6
  - comm=0.2.3
  - contourpy=1.3.1
  - cycler=0.12.1
  - debugpy=1.8.20
  - decorator=5.2.1
  - exceptiongroup=1.3.1
  - executing=2.2.1
  - expat=2.7.4
  - fontconfig=2.15.0
  - fonttools=4.61.0
  - freetype=2.14.1
  - graphite2=1.3.14
  - harfbuzz=12.3.0
  - icc_rt=2022.1.0
  - icu=73.1
  - idna=3.11
  - intel-openmp=2025.0.0
  - ipykernel=7.2.0
  - ipython=8.37.0
  - jedi=0.19.2
  - jmespath=1.1.0
  - joblib=1.5.3
  - jpeg=9f
  - jupyter_client=8.8.0
  - jupyter_core=5.9.1
  - kiwisolver=1.4.9
  - krb5=1.21.3
  - lcms2=2.16
  - lerc=3.0
  - libdeflate=1.17
  - libexpat=2.7.4
  - libffi=3.4.4
  - libglib=2.86.3
  - libhwloc=2.12.1
  - libiconv=1.16
  - libkrb5=1.22.1
  - libpng=1.6.54
  - libpq=17.6
  - libsodium=1.0.20
  - libtiff=4.5.1
  - libwebp-base=1.6.0
  - libxml2=2.13.9
  - libzlib=1.3.1
  - lz4-c=1.9.4
  - matplotlib=3.10.8
  - matplotlib-base=3.10.8
  - matplotlib-inline=0.2.1
  - mkl=2025.0.0
  - mkl-service=2.5.2
  - mkl_fft=2.1.1
  - mkl_random=1.3.0
  - mysql-common=9.3.0
  - mysql-libs=9.3.0
  - nest-asyncio=1.6.0
  - numexpr=2.14.1
  - numpy-base=2.2.5
  - openjpeg=2.5.2
  - openssl=3.6.1
  - packaging=25.0
  - pandas=2.3.3
  - parso=0.8.6
  - pcre2=10.46
  - pickleshare=0.7.5
  - pip=26.0.1
  - pixman=0.46.4
  - platformdirs=4.5.1
  - prompt-toolkit=3.0.52
  - psutil=7.2.2
  - pure_eval=0.2.3
  - pycparser=2.23
  - pygments=2.19.2
  - pyparsing=3.2.5
  - pyqt=6.9.1
  - pyqt6-sip=13.10.2
  - pysocks=1.7.1
  - python=3.10.19
  - python-dateutil=2.9.0post0
  - python-tzdata=2025.3
  - python_abi=3.10
  - pytz=2025.2
  - pywin32=311
  - pyzmq=27.1.0
  - qtbase=6.9.2
  - qtdeclarative=6.9.2
  - qtsvg=6.9.2
  - qttools=6.9.2
  - qtwebchannel=6.9.2
  - qtwebsockets=6.9.2
  - regex=2025.11.3
  - requests=2.32.5
  - s3transfer=0.16.0
  - sacremoses=0.1.1
  - scikit-learn=1.7.1
  - scipy=1.15.3
  - setuptools=80.10.2
  - sip=6.12.0
  - six=1.17.0
  - sqlite=3.51.1
  - stack_data=0.6.3
  - tbb=2022.3.0
  - tbb-devel=2022.3.0
  - threadpoolctl=3.5.0
  - tk=8.6.15
  - tomli=2.4.0
  - tornado=6.5.4
  - tqdm=4.67.3
  - traitlets=5.14.3
  - typing_extensions=4.15.0
  - tzdata=2025c
  - ucrt=10.0.22621.0
  - urllib3=2.6.3
  - vc=14.3
  - vc14_runtime=14.44.35208
  - vs2015_runtime=14.44.35208
  - wcwidth=0.6.0
  - wheel=0.46.3
  - win_inet_pton=1.1.0
  - xz=5.6.4
  - zeromq=4.3.5
  - zlib=1.3.1
  - zstd=1.5.7
  - pip:
      - accelerate==1.12.0
      - aiohappyeyeballs==2.6.1
      - aiohttp==3.13.3
      - aiosignal==1.4.0
      - annotated-doc==0.0.4
      - anyio==4.12.1
      - async-timeout==5.0.1
      - attrs==25.4.0
      - click==8.3.1
      - datasets==4.5.0
      - dill==0.4.0
      - filelock==3.20.0
      - frozenlist==1.8.0
      - fsspec==2025.10.0
      - h11==0.16.0
      - hf-xet==1.2.0
      - httpcore==1.0.9
      - httpx==0.28.1
      - huggingface-hub==1.4.1
      - jinja2==3.1.6
      - markdown-it-py==4.0.0
      - markupsafe==2.1.5
      - mdurl==0.1.2
      - mpmath==1.3.0
      - multidict==6.7.1
      - multiprocess==0.70.18
      - networkx==3.4.2
      - numpy==2.2.6
      - pillow==12.0.0
      - propcache==0.4.1
      - pyarrow==23.0.0
      - pyyaml==6.0.3
      - rich==14.3.2
      - safetensors==0.7.0
      - shellingham==1.5.4
      - sympy==1.14.0
      - tokenizers==0.22.2
      - torch==2.10.0+cu128
      - torchvision==0.25.0+cu128
      - transformers==5.1.0
      - typer==0.23.1
      - typer-slim==0.23.1
      - xxhash==3.6.0
      - yarl==1.22.0