æLtorio
commited on
Commit
•
5231487
1
Parent(s):
0bd0594
update sample
Browse files- ROCO-idefics3-test.ipynb +20 -4
ROCO-idefics3-test.ipynb
CHANGED
@@ -2,7 +2,7 @@
|
|
2 |
"cells": [
|
3 |
{
|
4 |
"cell_type": "code",
|
5 |
-
"execution_count":
|
6 |
"metadata": {},
|
7 |
"outputs": [
|
8 |
{
|
@@ -36,6 +36,7 @@
|
|
36 |
}
|
37 |
],
|
38 |
"source": [
|
|
|
39 |
"from transformers import AutoProcessor, Idefics3ForConditionalGeneration, image_utils\n",
|
40 |
"import torch\n",
|
41 |
"device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')\n",
|
@@ -47,7 +48,7 @@
|
|
47 |
" base_model_path, torch_dtype=torch.bfloat16\n",
|
48 |
" ).to(device)\n",
|
49 |
"\n",
|
50 |
-
"model.load_adapter(model_id)
|
51 |
]
|
52 |
},
|
53 |
{
|
@@ -82,9 +83,17 @@
|
|
82 |
},
|
83 |
{
|
84 |
"cell_type": "code",
|
85 |
-
"execution_count":
|
86 |
"metadata": {},
|
87 |
-
"outputs": [
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
88 |
"source": [
|
89 |
"# Generate\n",
|
90 |
"generated_ids = model.generate(**inputs, max_new_tokens=500)\n",
|
@@ -92,6 +101,13 @@
|
|
92 |
"\n",
|
93 |
"print(generated_texts)"
|
94 |
]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
95 |
}
|
96 |
],
|
97 |
"metadata": {
|
|
|
2 |
"cells": [
|
3 |
{
|
4 |
"cell_type": "code",
|
5 |
+
"execution_count": null,
|
6 |
"metadata": {},
|
7 |
"outputs": [
|
8 |
{
|
|
|
36 |
}
|
37 |
],
|
38 |
"source": [
|
39 |
+
"\n",
|
40 |
"from transformers import AutoProcessor, Idefics3ForConditionalGeneration, image_utils\n",
|
41 |
"import torch\n",
|
42 |
"device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')\n",
|
|
|
48 |
" base_model_path, torch_dtype=torch.bfloat16\n",
|
49 |
" ).to(device)\n",
|
50 |
"\n",
|
51 |
+
"model.load_adapter(model_id)"
|
52 |
]
|
53 |
},
|
54 |
{
|
|
|
83 |
},
|
84 |
{
|
85 |
"cell_type": "code",
|
86 |
+
"execution_count": 4,
|
87 |
"metadata": {},
|
88 |
+
"outputs": [
|
89 |
+
{
|
90 |
+
"name": "stdout",
|
91 |
+
"output_type": "stream",
|
92 |
+
"text": [
|
93 |
+
"['User:<image>What do we see in this image?\\nAssistant: Buccal and palatal cortical bone thickness measurements.\\n']\n"
|
94 |
+
]
|
95 |
+
}
|
96 |
+
],
|
97 |
"source": [
|
98 |
"# Generate\n",
|
99 |
"generated_ids = model.generate(**inputs, max_new_tokens=500)\n",
|
|
|
101 |
"\n",
|
102 |
"print(generated_texts)"
|
103 |
]
|
104 |
+
},
|
105 |
+
{
|
106 |
+
"cell_type": "code",
|
107 |
+
"execution_count": null,
|
108 |
+
"metadata": {},
|
109 |
+
"outputs": [],
|
110 |
+
"source": []
|
111 |
}
|
112 |
],
|
113 |
"metadata": {
|