æLtorio
commited on
update sample
Browse files- ROCO-idefics3-test.ipynb +20 -4
ROCO-idefics3-test.ipynb
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@@ -2,7 +2,7 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count":
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"metadata": {},
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"outputs": [
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{
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}
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],
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"source": [
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"from transformers import AutoProcessor, Idefics3ForConditionalGeneration, image_utils\n",
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"import torch\n",
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"device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')\n",
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" base_model_path, torch_dtype=torch.bfloat16\n",
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" ).to(device)\n",
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"\n",
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"model.load_adapter(model_id)
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]
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},
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},
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"cell_type": "code",
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"execution_count":
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"metadata": {},
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"outputs": [
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"source": [
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"# Generate\n",
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"generated_ids = model.generate(**inputs, max_new_tokens=500)\n",
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"\n",
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"print(generated_texts)"
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]
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}
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],
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"metadata": {
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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}
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],
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"source": [
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"\n",
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"from transformers import AutoProcessor, Idefics3ForConditionalGeneration, image_utils\n",
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"import torch\n",
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"device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')\n",
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" base_model_path, torch_dtype=torch.bfloat16\n",
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" ).to(device)\n",
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"\n",
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"model.load_adapter(model_id)"
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]
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},
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{
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"['User:<image>What do we see in this image?\\nAssistant: Buccal and palatal cortical bone thickness measurements.\\n']\n"
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]
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}
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],
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"source": [
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"# Generate\n",
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"generated_ids = model.generate(**inputs, max_new_tokens=500)\n",
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"\n",
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"print(generated_texts)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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