|
20 | 20 | }, |
21 | 21 | { |
22 | 22 | "cell_type": "code", |
23 | | - "execution_count": 11, |
| 23 | + "execution_count": 1, |
24 | 24 | "metadata": {}, |
25 | 25 | "outputs": [ |
26 | 26 | { |
|
29 | 29 | "(dtype('uint8'), (583, 800, 3))" |
30 | 30 | ] |
31 | 31 | }, |
32 | | - "execution_count": 11, |
| 32 | + "execution_count": 1, |
33 | 33 | "metadata": {}, |
34 | 34 | "output_type": "execute_result" |
35 | 35 | } |
|
52 | 52 | }, |
53 | 53 | { |
54 | 54 | "cell_type": "code", |
55 | | - "execution_count": 12, |
| 55 | + "execution_count": 2, |
56 | 56 | "metadata": {}, |
57 | 57 | "outputs": [ |
58 | 58 | { |
|
63 | 63 | "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=800x583>" |
64 | 64 | ] |
65 | 65 | }, |
66 | | - "execution_count": 12, |
| 66 | + "execution_count": 2, |
67 | 67 | "metadata": {}, |
68 | 68 | "output_type": "execute_result" |
69 | 69 | } |
|
84 | 84 | }, |
85 | 85 | { |
86 | 86 | "cell_type": "code", |
87 | | - "execution_count": 13, |
| 87 | + "execution_count": 3, |
88 | 88 | "metadata": {}, |
89 | 89 | "outputs": [ |
90 | 90 | { |
|
138 | 138 | }, |
139 | 139 | { |
140 | 140 | "cell_type": "code", |
141 | | - "execution_count": 14, |
| 141 | + "execution_count": 4, |
142 | 142 | "metadata": {}, |
143 | 143 | "outputs": [ |
144 | 144 | { |
145 | 145 | "data": { |
146 | 146 | "application/vnd.jupyter.widget-view+json": { |
147 | | - "model_id": "8dcb7b36a38a436983c7b72c396dbe68", |
| 147 | + "model_id": "dc748720a2bb477cb4da52a810ac685e", |
| 148 | + "version_major": 2, |
| 149 | + "version_minor": 0 |
| 150 | + }, |
| 151 | + "text/plain": [ |
| 152 | + "preprocessor_config.json: 0%| | 0.00/406 [00:00<?, ?B/s]" |
| 153 | + ] |
| 154 | + }, |
| 155 | + "metadata": {}, |
| 156 | + "output_type": "display_data" |
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| 165 | + "text/plain": [ |
| 166 | + "config.json: 0.00B [00:00, ?B/s]" |
| 167 | + ] |
| 168 | + }, |
| 169 | + "metadata": {}, |
| 170 | + "output_type": "display_data" |
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| 172 | + { |
| 173 | + "data": { |
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| 175 | + "model_id": "a2b49cc5592149bc9fb85c8d34ab18c7", |
| 176 | + "version_major": 2, |
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| 179 | + "text/plain": [ |
| 180 | + "model.safetensors: 0%| | 0.00/14.2M [00:00<?, ?B/s]" |
| 181 | + ] |
| 182 | + }, |
| 183 | + "metadata": {}, |
| 184 | + "output_type": "display_data" |
| 185 | + }, |
| 186 | + { |
| 187 | + "data": { |
| 188 | + "application/vnd.jupyter.widget-view+json": { |
| 189 | + "model_id": "5641a134f46541e1ba815042622279e9", |
148 | 190 | "version_major": 2, |
149 | 191 | "version_minor": 0 |
150 | 192 | }, |
|
159 | 201 | "name": "stderr", |
160 | 202 | "output_type": "stream", |
161 | 203 | "text": [ |
162 | | - "\u001b[1mMobileNetV2Model LOAD REPORT\u001b[0m from: google/mobilenet_v2_1.0_224\n", |
| 204 | + "[transformers] \u001b[1mMobileNetV2Model LOAD REPORT\u001b[0m from: google/mobilenet_v2_1.0_224\n", |
163 | 205 | "Key | Status | | \n", |
164 | 206 | "------------------+------------+--+-\n", |
165 | 207 | "classifier.weight | UNEXPECTED | | \n", |
166 | 208 | "classifier.bias | UNEXPECTED | | \n", |
167 | 209 | "\n", |
168 | | - "\u001b[3mNotes:\n", |
169 | | - "- UNEXPECTED\u001b[3m\t:can be ignored when loading from different task/architecture; not ok if you expect identical arch.\u001b[0m\n" |
| 210 | + "Notes:\n", |
| 211 | + "- UNEXPECTED:\tcan be ignored when loading from different task/architecture; not ok if you expect identical arch.\n" |
170 | 212 | ] |
171 | 213 | } |
172 | 214 | ], |
|
188 | 230 | }, |
189 | 231 | { |
190 | 232 | "cell_type": "code", |
191 | | - "execution_count": 15, |
| 233 | + "execution_count": 5, |
192 | 234 | "metadata": {}, |
193 | 235 | "outputs": [ |
194 | 236 | { |
|
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