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Blackeyes0u0 commited on
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1 Parent(s): fadb2d1

hf space

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Files changed (3) hide show
  1. hf_space.ipynb +148 -0
  2. hf_space2.ipynb +148 -0
  3. test.ipynb +0 -0
hf_space.ipynb ADDED
@@ -0,0 +1,148 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "cells": [
3
+ {
4
+ "cell_type": "code",
5
+ "execution_count": 7,
6
+ "metadata": {},
7
+ "outputs": [
8
+ {
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+ "data": {
10
+ "application/vnd.jupyter.widget-view+json": {
11
+ "model_id": "68716bf0c6534512aa0e010ae73e1546",
12
+ "version_major": 2,
13
+ "version_minor": 0
14
+ },
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+ "text/plain": [
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+ "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
17
+ ]
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+ },
19
+ "metadata": {},
20
+ "output_type": "display_data"
21
+ }
22
+ ],
23
+ "source": [
24
+ "from huggingface_hub import notebook_login\n",
25
+ " \n",
26
+ "notebook_login()"
27
+ ]
28
+ },
29
+ {
30
+ "cell_type": "code",
31
+ "execution_count": 12,
32
+ "metadata": {},
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+ "outputs": [
34
+ {
35
+ "data": {
36
+ "text/plain": [
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+ "RepoUrl('https://huggingface.co/Soran/CLIP_LoRA_SimCSE', endpoint='https://huggingface.co', repo_type='model', repo_id='Soran/CLIP_LoRA_SimCSE')"
38
+ ]
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+ },
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+ "execution_count": 12,
41
+ "metadata": {},
42
+ "output_type": "execute_result"
43
+ }
44
+ ],
45
+ "source": [
46
+ "from huggingface_hub import create_repo\n",
47
+ " \n",
48
+ "# Repository 생성\n",
49
+ "REPO_NAME = 'CLIP_LoRA_SimCSE'\n",
50
+ "create_repo('CLIP_LoRA_SimCSE')\n",
51
+ "\n",
52
+ "# , repo_type='model', repo_id='Soran/CLIP_LoRA_SimCSE')"
53
+ ]
54
+ },
55
+ {
56
+ "cell_type": "code",
57
+ "execution_count": 15,
58
+ "metadata": {},
59
+ "outputs": [
60
+ {
61
+ "name": "stderr",
62
+ "output_type": "stream",
63
+ "text": [
64
+ "Cloning https://huggingface.co/Soran/CLIP_LoRA_SimCSE into local empty directory.\n"
65
+ ]
66
+ }
67
+ ],
68
+ "source": [
69
+ "from huggingface_hub import Repository\n",
70
+ "\n",
71
+ "repo = Repository('/Users/juniverse/Desktop/pointcloud/huggingface_space/model', clone_from='Soran/CLIP_LoRA_SimCSE')"
72
+ ]
73
+ },
74
+ {
75
+ "cell_type": "code",
76
+ "execution_count": null,
77
+ "metadata": {},
78
+ "outputs": [],
79
+ "source": [
80
+ "!cp -r model/* /Users/juniverse/Desktop/pointcloud/huggingface_space/model"
81
+ ]
82
+ },
83
+ {
84
+ "cell_type": "code",
85
+ "execution_count": 19,
86
+ "metadata": {},
87
+ "outputs": [],
88
+ "source": [
89
+ "\n",
90
+ "# repo.git_add()\n",
91
+ "# repo.git_commit('Initial commit')\n",
92
+ "# repo.git_push()\n",
93
+ "\n"
94
+ ]
95
+ },
96
+ {
97
+ "cell_type": "code",
98
+ "execution_count": 22,
99
+ "metadata": {},
100
+ "outputs": [
101
+ {
102
+ "ename": "TypeError",
103
+ "evalue": "upload_file() takes 1 positional argument but 2 positional arguments (and 2 keyword-only arguments) were given",
104
+ "output_type": "error",
105
+ "traceback": [
106
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
107
+ "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
108
+ "\u001b[1;32m/Users/juniverse/Desktop/pointcloud/huggingface_space/Custom_Youtube_Algorithm/test.ipynb μ…€ 6\u001b[0m line \u001b[0;36m4\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/juniverse/Desktop/pointcloud/huggingface_space/Custom_Youtube_Algorithm/test.ipynb#W5sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mhuggingface_hub\u001b[39;00m \u001b[39mimport\u001b[39;00m upload_file, delete_file\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/juniverse/Desktop/pointcloud/huggingface_space/Custom_Youtube_Algorithm/test.ipynb#W5sZmlsZQ%3D%3D?line=1'>2</a>\u001b[0m \u001b[39m# LOCAL_FILE_PATH = '/Users/juniverse/Downloads/CLIP_LoRA_CSE_15.pt'\u001b[39;00m\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/juniverse/Desktop/pointcloud/huggingface_space/Custom_Youtube_Algorithm/test.ipynb#W5sZmlsZQ%3D%3D?line=2'>3</a>\u001b[0m \u001b[39m# νŒŒμΌμ„ 직접 μ—…λ‘œλ“œ\u001b[39;00m\n\u001b[0;32m----> <a href='vscode-notebook-cell:/Users/juniverse/Desktop/pointcloud/huggingface_space/Custom_Youtube_Algorithm/test.ipynb#W5sZmlsZQ%3D%3D?line=3'>4</a>\u001b[0m upload_file(\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/juniverse/Desktop/pointcloud/huggingface_space/Custom_Youtube_Algorithm/test.ipynb#W5sZmlsZQ%3D%3D?line=4'>5</a>\u001b[0m \u001b[39m'\u001b[39;49m\u001b[39m/Users/juniverse/Downloads/CLIP_LoRA_CSE_15.pt\u001b[39;49m\u001b[39m'\u001b[39;49m,\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/juniverse/Desktop/pointcloud/huggingface_space/Custom_Youtube_Algorithm/test.ipynb#W5sZmlsZQ%3D%3D?line=5'>6</a>\u001b[0m path_in_repo\u001b[39m=\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39m./model\u001b[39;49m\u001b[39m'\u001b[39;49m,\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/juniverse/Desktop/pointcloud/huggingface_space/Custom_Youtube_Algorithm/test.ipynb#W5sZmlsZQ%3D%3D?line=6'>7</a>\u001b[0m repo_id\u001b[39m=\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39mSoran/CLIP_LoRA_SimCSE\u001b[39;49m\u001b[39m'\u001b[39;49m,\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/juniverse/Desktop/pointcloud/huggingface_space/Custom_Youtube_Algorithm/test.ipynb#W5sZmlsZQ%3D%3D?line=7'>8</a>\u001b[0m )\n",
109
+ "File \u001b[0;32m~/opt/anaconda3/envs/veda/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py:118\u001b[0m, in \u001b[0;36mvalidate_hf_hub_args.<locals>._inner_fn\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 115\u001b[0m \u001b[39mif\u001b[39;00m check_use_auth_token:\n\u001b[1;32m 116\u001b[0m kwargs \u001b[39m=\u001b[39m smoothly_deprecate_use_auth_token(fn_name\u001b[39m=\u001b[39mfn\u001b[39m.\u001b[39m\u001b[39m__name__\u001b[39m, has_token\u001b[39m=\u001b[39mhas_token, kwargs\u001b[39m=\u001b[39mkwargs)\n\u001b[0;32m--> 118\u001b[0m \u001b[39mreturn\u001b[39;00m fn(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n",
110
+ "File \u001b[0;32m~/opt/anaconda3/envs/veda/lib/python3.8/site-packages/huggingface_hub/hf_api.py:849\u001b[0m, in \u001b[0;36mfuture_compatible.<locals>._inner\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 846\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mrun_as_future(fn, \u001b[39mself\u001b[39m, \u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n\u001b[1;32m 848\u001b[0m \u001b[39m# Otherwise, call the function normally\u001b[39;00m\n\u001b[0;32m--> 849\u001b[0m \u001b[39mreturn\u001b[39;00m fn(\u001b[39mself\u001b[39;49m, \u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n",
111
+ "\u001b[0;31mTypeError\u001b[0m: upload_file() takes 1 positional argument but 2 positional arguments (and 2 keyword-only arguments) were given"
112
+ ]
113
+ }
114
+ ],
115
+ "source": [
116
+ "from huggingface_hub import upload_file, delete_file\n",
117
+ "# LOCAL_FILE_PATH = '/Users/juniverse/Downloads/CLIP_LoRA_CSE_15.pt'\n",
118
+ "# νŒŒμΌμ„ 직접 μ—…λ‘œλ“œ\n",
119
+ "upload_file(\n",
120
+ " '/Users/juniverse/Downloads/CLIP_LoRA_CSE_15.pt',\n",
121
+ " path_in_repo='./model',\n",
122
+ " repo_id='Soran/CLIP_LoRA_SimCSE',\n",
123
+ ")"
124
+ ]
125
+ }
126
+ ],
127
+ "metadata": {
128
+ "kernelspec": {
129
+ "display_name": "veda",
130
+ "language": "python",
131
+ "name": "python3"
132
+ },
133
+ "language_info": {
134
+ "codemirror_mode": {
135
+ "name": "ipython",
136
+ "version": 3
137
+ },
138
+ "file_extension": ".py",
139
+ "mimetype": "text/x-python",
140
+ "name": "python",
141
+ "nbconvert_exporter": "python",
142
+ "pygments_lexer": "ipython3",
143
+ "version": "3.8.17"
144
+ }
145
+ },
146
+ "nbformat": 4,
147
+ "nbformat_minor": 2
148
+ }
hf_space2.ipynb ADDED
@@ -0,0 +1,148 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cells": [
3
+ {
4
+ "cell_type": "code",
5
+ "execution_count": 7,
6
+ "metadata": {},
7
+ "outputs": [
8
+ {
9
+ "data": {
10
+ "application/vnd.jupyter.widget-view+json": {
11
+ "model_id": "68716bf0c6534512aa0e010ae73e1546",
12
+ "version_major": 2,
13
+ "version_minor": 0
14
+ },
15
+ "text/plain": [
16
+ "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
17
+ ]
18
+ },
19
+ "metadata": {},
20
+ "output_type": "display_data"
21
+ }
22
+ ],
23
+ "source": [
24
+ "from huggingface_hub import notebook_login\n",
25
+ " \n",
26
+ "notebook_login()"
27
+ ]
28
+ },
29
+ {
30
+ "cell_type": "code",
31
+ "execution_count": 12,
32
+ "metadata": {},
33
+ "outputs": [
34
+ {
35
+ "data": {
36
+ "text/plain": [
37
+ "RepoUrl('https://huggingface.co/Soran/CLIP_LoRA_SimCSE', endpoint='https://huggingface.co', repo_type='model', repo_id='Soran/CLIP_LoRA_SimCSE')"
38
+ ]
39
+ },
40
+ "execution_count": 12,
41
+ "metadata": {},
42
+ "output_type": "execute_result"
43
+ }
44
+ ],
45
+ "source": [
46
+ "from huggingface_hub import create_repo\n",
47
+ " \n",
48
+ "# Repository 생성\n",
49
+ "REPO_NAME = 'CLIP_LoRA_SimCSE'\n",
50
+ "create_repo('CLIP_LoRA_SimCSE')\n",
51
+ "\n",
52
+ "# , repo_type='model', repo_id='Soran/CLIP_LoRA_SimCSE')"
53
+ ]
54
+ },
55
+ {
56
+ "cell_type": "code",
57
+ "execution_count": 15,
58
+ "metadata": {},
59
+ "outputs": [
60
+ {
61
+ "name": "stderr",
62
+ "output_type": "stream",
63
+ "text": [
64
+ "Cloning https://huggingface.co/Soran/CLIP_LoRA_SimCSE into local empty directory.\n"
65
+ ]
66
+ }
67
+ ],
68
+ "source": [
69
+ "from huggingface_hub import Repository\n",
70
+ "\n",
71
+ "repo = Repository('/Users/juniverse/Desktop/pointcloud/huggingface_space/model', clone_from='Soran/CLIP_LoRA_SimCSE')"
72
+ ]
73
+ },
74
+ {
75
+ "cell_type": "code",
76
+ "execution_count": null,
77
+ "metadata": {},
78
+ "outputs": [],
79
+ "source": [
80
+ "!cp -r model/* /Users/juniverse/Desktop/pointcloud/huggingface_space/model"
81
+ ]
82
+ },
83
+ {
84
+ "cell_type": "code",
85
+ "execution_count": 19,
86
+ "metadata": {},
87
+ "outputs": [],
88
+ "source": [
89
+ "\n",
90
+ "# repo.git_add()\n",
91
+ "# repo.git_commit('Initial commit')\n",
92
+ "# repo.git_push()\n",
93
+ "\n"
94
+ ]
95
+ },
96
+ {
97
+ "cell_type": "code",
98
+ "execution_count": 22,
99
+ "metadata": {},
100
+ "outputs": [
101
+ {
102
+ "ename": "TypeError",
103
+ "evalue": "upload_file() takes 1 positional argument but 2 positional arguments (and 2 keyword-only arguments) were given",
104
+ "output_type": "error",
105
+ "traceback": [
106
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
107
+ "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
108
+ "\u001b[1;32m/Users/juniverse/Desktop/pointcloud/huggingface_space/Custom_Youtube_Algorithm/test.ipynb μ…€ 6\u001b[0m line \u001b[0;36m4\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/juniverse/Desktop/pointcloud/huggingface_space/Custom_Youtube_Algorithm/test.ipynb#W5sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mhuggingface_hub\u001b[39;00m \u001b[39mimport\u001b[39;00m upload_file, delete_file\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/juniverse/Desktop/pointcloud/huggingface_space/Custom_Youtube_Algorithm/test.ipynb#W5sZmlsZQ%3D%3D?line=1'>2</a>\u001b[0m \u001b[39m# LOCAL_FILE_PATH = '/Users/juniverse/Downloads/CLIP_LoRA_CSE_15.pt'\u001b[39;00m\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/juniverse/Desktop/pointcloud/huggingface_space/Custom_Youtube_Algorithm/test.ipynb#W5sZmlsZQ%3D%3D?line=2'>3</a>\u001b[0m \u001b[39m# νŒŒμΌμ„ 직접 μ—…λ‘œλ“œ\u001b[39;00m\n\u001b[0;32m----> <a href='vscode-notebook-cell:/Users/juniverse/Desktop/pointcloud/huggingface_space/Custom_Youtube_Algorithm/test.ipynb#W5sZmlsZQ%3D%3D?line=3'>4</a>\u001b[0m upload_file(\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/juniverse/Desktop/pointcloud/huggingface_space/Custom_Youtube_Algorithm/test.ipynb#W5sZmlsZQ%3D%3D?line=4'>5</a>\u001b[0m \u001b[39m'\u001b[39;49m\u001b[39m/Users/juniverse/Downloads/CLIP_LoRA_CSE_15.pt\u001b[39;49m\u001b[39m'\u001b[39;49m,\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/juniverse/Desktop/pointcloud/huggingface_space/Custom_Youtube_Algorithm/test.ipynb#W5sZmlsZQ%3D%3D?line=5'>6</a>\u001b[0m path_in_repo\u001b[39m=\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39m./model\u001b[39;49m\u001b[39m'\u001b[39;49m,\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/juniverse/Desktop/pointcloud/huggingface_space/Custom_Youtube_Algorithm/test.ipynb#W5sZmlsZQ%3D%3D?line=6'>7</a>\u001b[0m repo_id\u001b[39m=\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39mSoran/CLIP_LoRA_SimCSE\u001b[39;49m\u001b[39m'\u001b[39;49m,\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/juniverse/Desktop/pointcloud/huggingface_space/Custom_Youtube_Algorithm/test.ipynb#W5sZmlsZQ%3D%3D?line=7'>8</a>\u001b[0m )\n",
109
+ "File \u001b[0;32m~/opt/anaconda3/envs/veda/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py:118\u001b[0m, in \u001b[0;36mvalidate_hf_hub_args.<locals>._inner_fn\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 115\u001b[0m \u001b[39mif\u001b[39;00m check_use_auth_token:\n\u001b[1;32m 116\u001b[0m kwargs \u001b[39m=\u001b[39m smoothly_deprecate_use_auth_token(fn_name\u001b[39m=\u001b[39mfn\u001b[39m.\u001b[39m\u001b[39m__name__\u001b[39m, has_token\u001b[39m=\u001b[39mhas_token, kwargs\u001b[39m=\u001b[39mkwargs)\n\u001b[0;32m--> 118\u001b[0m \u001b[39mreturn\u001b[39;00m fn(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n",
110
+ "File \u001b[0;32m~/opt/anaconda3/envs/veda/lib/python3.8/site-packages/huggingface_hub/hf_api.py:849\u001b[0m, in \u001b[0;36mfuture_compatible.<locals>._inner\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 846\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mrun_as_future(fn, \u001b[39mself\u001b[39m, \u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n\u001b[1;32m 848\u001b[0m \u001b[39m# Otherwise, call the function normally\u001b[39;00m\n\u001b[0;32m--> 849\u001b[0m \u001b[39mreturn\u001b[39;00m fn(\u001b[39mself\u001b[39;49m, \u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n",
111
+ "\u001b[0;31mTypeError\u001b[0m: upload_file() takes 1 positional argument but 2 positional arguments (and 2 keyword-only arguments) were given"
112
+ ]
113
+ }
114
+ ],
115
+ "source": [
116
+ "from huggingface_hub import upload_file, delete_file\n",
117
+ "# LOCAL_FILE_PATH = '/Users/juniverse/Downloads/CLIP_LoRA_CSE_15.pt'\n",
118
+ "# νŒŒμΌμ„ 직접 μ—…λ‘œλ“œ\n",
119
+ "upload_file(\n",
120
+ " '/Users/juniverse/Downloads/CLIP_LoRA_CSE_15.pt',\n",
121
+ " path_in_repo='./model',\n",
122
+ " repo_id='Soran/CLIP_LoRA_SimCSE',\n",
123
+ ")"
124
+ ]
125
+ }
126
+ ],
127
+ "metadata": {
128
+ "kernelspec": {
129
+ "display_name": "veda",
130
+ "language": "python",
131
+ "name": "python3"
132
+ },
133
+ "language_info": {
134
+ "codemirror_mode": {
135
+ "name": "ipython",
136
+ "version": 3
137
+ },
138
+ "file_extension": ".py",
139
+ "mimetype": "text/x-python",
140
+ "name": "python",
141
+ "nbconvert_exporter": "python",
142
+ "pygments_lexer": "ipython3",
143
+ "version": "3.8.17"
144
+ }
145
+ },
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+ "nbformat": 4,
147
+ "nbformat_minor": 2
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+ }
test.ipynb DELETED
File without changes