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| "id": "view-in-github", | |
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| "source": [ | |
| "<a href=\"https://colab.research.google.com/gist/alonsosilvaallende/aa325ca36fd301e4ff2b4e44fd1ca854/untitled37.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
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| "# Use cuda for faster inference\n", | |
| "import torch\n", | |
| "\n", | |
| "device = torch.device(\"cuda\") if torch.cuda.is_available() else torch.device(\"cpu\")\n", | |
| "assert device == torch.device(\"cuda\"), \"In the Runtime tab, please Change runtime type to GPU\"" | |
| ], | |
| "metadata": { | |
| "id": "i4iPK1RloRLa" | |
| }, | |
| "execution_count": 1, | |
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| { | |
| "output_type": "stream", | |
| "name": "stderr", | |
| "text": [ | |
| "A new version of the following files was downloaded from https://huggingface.co/jinaai/jina-vlm:\n", | |
| "- configuration_jvlm.py\n", | |
| ". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.\n", | |
| "A new version of the following files was downloaded from https://huggingface.co/jinaai/jina-vlm:\n", | |
| "- image_processing_jvlm.py\n", | |
| "- configuration_jvlm.py\n", | |
| ". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.\n", | |
| "A new version of the following files was downloaded from https://huggingface.co/jinaai/jina-vlm:\n", | |
| "- processing_jvlm.py\n", | |
| "- image_processing_jvlm.py\n", | |
| ". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.\n" | |
| ] | |
| }, | |
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| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": [ | |
| "tokenizer.json: 0%| | 0.00/11.5M [00:00<?, ?B/s]" | |
| ], | |
| "application/vnd.jupyter.widget-view+json": { | |
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| } | |
| }, | |
| "metadata": {} | |
| } | |
| ], | |
| "source": [ | |
| "import torch\n", | |
| "from transformers import AutoModelForCausalLM, AutoProcessor, GenerationConfig\n", | |
| "\n", | |
| "processor = AutoProcessor.from_pretrained(\n", | |
| " 'jinaai/jina-vlm', use_fast=False, trust_remote_code=True\n", | |
| ")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "model = AutoModelForCausalLM.from_pretrained(\n", | |
| " 'jinaai/jina-vlm',\n", | |
| " device_map='auto',\n", | |
| " trust_remote_code=True\n", | |
| ")" | |
| ], | |
| "metadata": { | |
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| "base_uri": "https://localhost:8080/", | |
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| { | |
| "output_type": "stream", | |
| "name": "stderr", | |
| "text": [ | |
| "A new version of the following files was downloaded from https://huggingface.co/jinaai/jina-vlm:\n", | |
| "- blocks_jvlm.py\n", | |
| ". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.\n", | |
| "A new version of the following files was downloaded from https://huggingface.co/jinaai/jina-vlm:\n", | |
| "- modeling_jvlm.py\n", | |
| "- blocks_jvlm.py\n", | |
| ". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.\n" | |
| ] | |
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| "metadata": {} | |
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| } | |
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| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "image = 'https://biysc.org/wp-content/uploads/2025/12/vCity_Patricio_Reyes-1.jpg'" | |
| ], | |
| "metadata": { | |
| "id": "zxoid-W0nsZI" | |
| }, | |
| "execution_count": 4, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "conversation = [\n", | |
| " {\n", | |
| " 'role': 'user',\n", | |
| " 'content': [\n", | |
| " {'type': 'image', 'image': image},\n", | |
| " {'type': 'text', 'text': 'Describe this image.'},\n", | |
| " ],\n", | |
| " }\n", | |
| "]" | |
| ], | |
| "metadata": { | |
| "id": "qUIbMywP_DBY" | |
| }, | |
| "execution_count": 5, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "text = processor.apply_chat_template(conversation, add_generation_prompt=True)\n", | |
| "inputs = processor(text=[text], images=[image], padding='longest', return_tensors='pt')\n", | |
| "inputs = {k: v.to(model.device) if isinstance(v, torch.Tensor) else v for k, v in inputs.items()}" | |
| ], | |
| "metadata": { | |
| "id": "fcrIbvdJOTyj" | |
| }, | |
| "execution_count": 6, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "output = model.generate(\n", | |
| " **inputs,\n", | |
| " generation_config=GenerationConfig(max_new_tokens=512, do_sample=False),\n", | |
| " return_dict_in_generate=True,\n", | |
| " use_model_defaults=True,\n", | |
| ")" | |
| ], | |
| "metadata": { | |
| "id": "_XWcTu2VmViY" | |
| }, | |
| "execution_count": 7, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "response = processor.tokenizer.decode(\n", | |
| " output.sequences[0][inputs['input_ids'].shape[-1]:],\n", | |
| " skip_special_tokens=True\n", | |
| ")" | |
| ], | |
| "metadata": { | |
| "id": "Chi0a7N_mcmn" | |
| }, | |
| "execution_count": 8, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "from IPython.display import Markdown\n", | |
| "\n", | |
| "Markdown(response)" | |
| ], | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 98 | |
| }, | |
| "id": "-2Y4Z969pusu", | |
| "outputId": "5656951b-4b0f-46be-c598-dedd87868bb2" | |
| }, | |
| "execution_count": 9, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "<IPython.core.display.Markdown object>" | |
| ], | |
| "text/markdown": " This black and white photograph captures a man in his late 20s to early 30s, with short dark hair and a light stubble beard. He is wearing a light gray, long-sleeved crew neck t-shirt. The man is looking slightly to his right with a subtle smile, and his head is tilted slightly downward. The background is blurred, featuring indistinct shapes that suggest a park or outdoor setting with trees and possibly a bench. The lighting in the image is soft and diffused, highlighting the man's features without creating harsh shadows." | |
| }, | |
| "metadata": {}, | |
| "execution_count": 9 | |
| } | |
| ] | |
| } | |
| ] | |
| } |
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