Hugging Face's logo

Datasets:
burtenshaw
/
most_used_models

Modalities:
Tabular
Text
Formats:
parquet
Size:
< 1K
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
1
most_used_models
File size: 2,088 Bytes 
2b002e5
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
#
# This file is autogenerated by pip-compile with Python 3.11
# by the following command:
#
#    pip-compile --output-file=most_used_models/requirements.txt requirements.in
#
aiohappyeyeballs==2.4.2
    # via aiohttp
aiohttp==3.10.8
    # via
    #   datasets
    #   fsspec
aiosignal==1.3.1
    # via aiohttp
attrs==24.2.0
    # via aiohttp
certifi==2024.8.30
    # via requests
charset-normalizer==3.3.2
    # via requests
contourpy==1.3.0
    # via matplotlib
cycler==0.12.1
    # via matplotlib
datasets==3.0.1
    # via -r requirements.in
dill==0.3.8
    # via
    #   datasets
    #   multiprocess
filelock==3.16.1
    # via
    #   datasets
    #   huggingface-hub
fonttools==4.54.1
    # via matplotlib
frozenlist==1.4.1
    # via
    #   aiohttp
    #   aiosignal
fsspec[http]==2024.6.1
    # via
    #   datasets
    #   huggingface-hub
huggingface-hub==0.25.1
    # via datasets
idna==3.10
    # via
    #   requests
    #   yarl
kiwisolver==1.4.7
    # via matplotlib
matplotlib==3.9.2
    # via -r requirements.in
multidict==6.1.0
    # via
    #   aiohttp
    #   yarl
multiprocess==0.70.16
    # via datasets
numpy==2.1.1
    # via
    #   contourpy
    #   datasets
    #   matplotlib
    #   pandas
    #   pyarrow
    #   scipy
packaging==24.1
    # via
    #   datasets
    #   huggingface-hub
    #   matplotlib
pandas==2.2.3
    # via datasets
pillow==10.4.0
    # via matplotlib
pyarrow==17.0.0
    # via datasets
pyparsing==3.1.4
    # via matplotlib
python-dateutil==2.9.0.post0
    # via
    #   matplotlib
    #   pandas
python-dotenv==1.0.1
    # via -r requirements.in
pytz==2024.2
    # via pandas
pyyaml==6.0.2
    # via
    #   datasets
    #   huggingface-hub
requests==2.32.3
    # via
    #   datasets
    #   huggingface-hub
scipy==1.14.1
    # via -r requirements.in
six==1.16.0
    # via python-dateutil
tqdm==4.66.5
    # via
    #   datasets
    #   huggingface-hub
typing-extensions==4.12.2
    # via huggingface-hub
tzdata==2024.2
    # via pandas
urllib3==2.2.3
    # via requests
xxhash==3.5.0
    # via datasets
yarl==1.13.1
    # via aiohttp