-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathclippings_japanese.yml
211 lines (210 loc) · 6.07 KB
/
clippings_japanese.yml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
name: nlp_jap_clip
channels:
- anaconda
- pytorch
- nvidia
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=conda_forge
- _openmp_mutex=4.5=2_kmp_llvm
- blas=1.0=mkl
- bottleneck=1.3.5=py38h7deecbd_0
- brotlipy=0.7.0=py38h27cfd23_1003
- bzip2=1.0.8=h7b6447c_0
- ca-certificates=2023.01.10=h06a4308_0
- certifi=2022.12.7=py38h06a4308_0
- cffi=1.15.1=py38h5eee18b_3
- colorama=0.4.6=pyhd8ed1ab_0
- cryptography=38.0.4=py38h9ce1e76_0
- cuda=11.6.1=0
- cuda-cccl=11.6.55=hf6102b2_0
- cuda-command-line-tools=11.6.2=0
- cuda-compiler=11.6.2=0
- cuda-cudart=11.6.55=he381448_0
- cuda-cudart-dev=11.6.55=h42ad0f4_0
- cuda-cuobjdump=11.6.124=h2eeebcb_0
- cuda-cupti=11.6.124=h86345e5_0
- cuda-cuxxfilt=11.6.124=hecbf4f6_0
- cuda-driver-dev=11.6.55=0
- cuda-gdb=12.0.140=0
- cuda-libraries=11.6.1=0
- cuda-libraries-dev=11.6.1=0
- cuda-memcheck=11.8.86=0
- cuda-nsight=12.0.140=0
- cuda-nsight-compute=12.0.1=0
- cuda-nvcc=11.6.124=hbba6d2d_0
- cuda-nvdisasm=12.0.140=0
- cuda-nvml-dev=11.6.55=haa9ef22_0
- cuda-nvprof=12.0.146=0
- cuda-nvprune=11.6.124=he22ec0a_0
- cuda-nvrtc=11.6.124=h020bade_0
- cuda-nvrtc-dev=11.6.124=h249d397_0
- cuda-nvtx=11.6.124=h0630a44_0
- cuda-nvvp=12.0.146=0
- cuda-runtime=11.6.1=0
- cuda-samples=11.6.101=h8efea70_0
- cuda-sanitizer-api=12.0.140=0
- cuda-toolkit=11.6.1=0
- cuda-tools=11.6.1=0
- cuda-visual-tools=11.6.1=0
- cudatoolkit=11.3.1=h2bc3f7f_2
- cython=0.29.32=py38h6a678d5_0
- faiss-gpu=1.7.3=py3.8_h28a55e0_0_cuda11.3
- ffmpeg=4.3=hf484d3e_0
- fftw=3.3.10=nompi_h77c792f_102
- filelock=3.9.0=pyhd8ed1ab_0
- flit-core=3.6.0=pyhd3eb1b0_0
- freetype=2.12.1=h4a9f257_0
- gds-tools=1.5.1.14=0
- giflib=5.2.1=h5eee18b_1
- gmp=6.2.1=h295c915_3
- gnutls=3.6.15=he1e5248_0
- hdbscan=0.8.29=py38h7e4f40d_2
- huggingface_hub=0.12.0=pyhd8ed1ab_0
- idna=3.4=py38h06a4308_0
- importlib-metadata=6.0.0=pyha770c72_0
- intel-openmp=2021.4.0=h06a4308_3561
- joblib=1.2.0=pyhd8ed1ab_0
- jpeg=9e=h7f8727e_0
- lame=3.100=h7b6447c_0
- lcms2=2.12=h3be6417_0
- ld_impl_linux-64=2.38=h1181459_1
- lerc=3.0=h295c915_0
- libcublas=11.9.2.110=h5e84587_0
- libcublas-dev=11.9.2.110=h5c901ab_0
- libcufft=10.7.1.112=hf425ae0_0
- libcufft-dev=10.7.1.112=ha5ce4c0_0
- libcufile=1.5.1.14=0
- libcufile-dev=1.5.1.14=0
- libcurand=10.3.1.124=0
- libcurand-dev=10.3.1.124=0
- libcusolver=11.3.4.124=h33c3c4e_0
- libcusparse=11.7.2.124=h7538f96_0
- libcusparse-dev=11.7.2.124=hbbe9722_0
- libdeflate=1.8=h7f8727e_5
- libfaiss=1.7.3=hfc2d529_0_cuda11.3
- libffi=3.4.2=h6a678d5_6
- libgcc-ng=12.2.0=h65d4601_19
- libgfortran-ng=12.2.0=h69a702a_19
- libgfortran5=12.2.0=h337968e_19
- libiconv=1.16=h7f8727e_2
- libidn2=2.3.2=h7f8727e_0
- libnpp=11.6.3.124=hd2722f0_0
- libnpp-dev=11.6.3.124=h3c42840_0
- libnvjpeg=11.6.2.124=hd473ad6_0
- libnvjpeg-dev=11.6.2.124=hb5906b9_0
- libpng=1.6.37=hbc83047_0
- libstdcxx-ng=11.2.0=h1234567_1
- libtasn1=4.16.0=h27cfd23_0
- libtiff=4.5.0=h6a678d5_1
- libunistring=0.9.10=h27cfd23_0
- libwebp=1.2.4=h11a3e52_0
- libwebp-base=1.2.4=h5eee18b_0
- llvm-openmp=14.0.6=h9e868ea_0
- lz4-c=1.9.4=h6a678d5_0
- mkl=2021.4.0=h06a4308_640
- mkl-service=2.4.0=py38h7f8727e_0
- mkl_fft=1.3.1=py38hd3c417c_0
- mkl_random=1.2.2=py38h51133e4_0
- ncurses=6.4=h6a678d5_0
- nettle=3.7.3=hbbd107a_1
- networkx=2.8.4=py38h06a4308_0
- nsight-compute=2022.4.1.6=0
- numexpr=2.8.4=py38he184ba9_0
- numpy-base=1.23.5=py38h31eccc5_0
- openh264=2.1.1=h4ff587b_0
- openssl=1.1.1t=h7f8727e_0
- pandas=1.5.2=py38h417a72b_0
- pip=22.3.1=py38h06a4308_0
- pycparser=2.21=pyhd3eb1b0_0
- pyopenssl=22.0.0=pyhd3eb1b0_0
- pysocks=1.7.1=py38h06a4308_0
- python=3.8.16=h7a1cb2a_2
- python-dateutil=2.8.2=pyhd3eb1b0_0
- python_abi=3.8=2_cp38
- pytorch=1.13.1=py3.8_cuda11.6_cudnn8.3.2_0
- pytorch-cuda=11.6=h867d48c_1
- pytorch-mutex=1.0=cuda
- pytz=2022.7=py38h06a4308_0
- pyyaml=6.0=py38h0a891b7_5
- readline=8.2=h5eee18b_0
- setuptools=65.6.3=py38h06a4308_0
- six=1.16.0=pyhd3eb1b0_1
- sqlite=3.40.1=h5082296_0
- threadpoolctl=3.1.0=pyh8a188c0_0
- tk=8.6.12=h1ccaba5_0
- torchaudio=0.13.1=py38_cu116
- torchvision=0.14.1=py38_cu116
- tqdm=4.64.1=pyhd8ed1ab_0
- typing-extensions=4.4.0=py38h06a4308_0
- typing_extensions=4.4.0=py38h06a4308_0
- urllib3=1.26.14=py38h06a4308_0
- wheel=0.37.1=pyhd3eb1b0_0
- xz=5.2.10=h5eee18b_1
- yaml=0.2.5=h7f98852_2
- zipp=3.13.0=pyhd8ed1ab_0
- zlib=1.2.13=h5eee18b_0
- zstd=1.5.2=ha4553b6_0
- pip:
- albumentations==1.3.0
- appdirs==1.4.4
- chardet==5.1.0
- charset-normalizer==3.0.1
- click==8.1.3
- contourpy==1.0.7
- cycler==0.11.0
- docker-pycreds==0.4.0
- fonttools==4.38.0
- fugashi==1.2.1
- gitdb==4.0.10
- gitpython==3.1.30
- huggingface-hub==0.0.12
- imageio==2.25.1
- importlib-resources==5.10.2
- ipadic==1.0.0
- japanese-clip==0.2.0
- kiwisolver==1.4.4
- kornia==0.6.9
- markov-clustering==0.0.6.dev0
- matplotlib==3.7.0
- nltk==3.8.1
- numpy==1.24.2
- nvidia-cublas-cu11==11.10.3.66
- nvidia-cuda-nvrtc-cu11==11.7.99
- nvidia-cuda-runtime-cu11==11.7.99
- nvidia-cudnn-cu11==8.5.0.96
- opencv-python==4.7.0.68
- opencv-python-headless==4.7.0.68
- packaging==23.0
- pathtools==0.1.2
- pillow==9.4.0
- protobuf==4.21.12
- psutil==5.9.4
- pyparsing==3.0.9
- pytorch-metric-learning==2.0.0
- pywavelets==1.4.1
- qudida==0.0.4
- regex==2022.10.31
- requests==2.28.2
- sacremoses==0.0.53
- scikit-image==0.19.3
- scikit-learn==1.2.1
- scipy==1.10.0
- sentence-transformers==2.0.0
- sentencepiece==0.1.94
- sentry-sdk==1.15.0
- setproctitle==1.3.2
- sklearn==0.0.post1
- smmap==5.0.0
- tifffile==2023.2.3
- timm==0.8.11.dev0
- tokenizers==0.13.2
- transformers==4.26.1
- unidic-lite==1.0.8
- wandb==0.13.10
- fuzzychinese==0.1.5
- hyperopt==0.2.7
- textdistance==4.5.0
- bokeh==3.1.0
prefix: /home/user/.conda/envs/nlp_jap_clip