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It comes in [a lot of sizes](https://huggingface.co/collections/merve/internvl3-hf-6814be2943b2ae0e711c92a5) and you can easily use all with Hugging Face transformers. We'll try 1B model here, it's pretty capable.\n", + "\n", + "Let's see how to use it. Make sure we have the transformers in main as it was recently merged." + ], + "metadata": { + "id": "hHleAfDwBMuA" + } + }, + { + "cell_type": "code", + "source": [ + "!pip install -q git+https://github.com/huggingface/transformers.git" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "KLV4O3wfCKOV", + "outputId": "2380c25b-5186-4e4e-c018-52814a0962b3" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n", + " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n", + " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", + " Building wheel for transformers (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "First, load the model and the processor." + ], + "metadata": { + "id": "iOqhmeorCTj0" + } + }, + { + "cell_type": "code", + "source": [ + "from transformers import AutoProcessor, AutoModelForImageTextToText, BitsAndBytesConfig\n", + "import torch\n", + "\n", + "torch_device = \"cuda\"\n", + "model_checkpoint = \"OpenGVLab/InternVL3-1B-hf\"\n", + "processor = AutoProcessor.from_pretrained(model_checkpoint)\n", + "model = AutoModelForImageTextToText.from_pretrained(model_checkpoint, device_map=torch_device, torch_dtype=torch.bfloat16)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 525, + "referenced_widgets": [ + "23aa8171cb1243fcb9484181791c6a64", + "0f8995a97765402f89e245b2d15e9e0f", + "e6b4b21ddd294091b5f359ec83cf0694", + "1434b14a4c3b47f0bbc23ad36c8134d1", + "f3441d6f70de4f05bcc8d6977a6a2618", + "7954067f447c4dcfa679e7340c57cd3a", + "3e68d1493e8a4b998f74e919d76861d2", + "8164c5fe64c64c50aa255993587ac397", + "219abcc277684e13812bdefe18e6e74f", + "75cca0f82b3342169dd1e06a6655fb9d", + "603803c04202460da01ab140974f8937", + "b9ff7041eb4d4606aabc15251dffc9ba", + 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Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", + "You will be able to reuse this secret in all of your notebooks.\n", + "Please note that authentication is recommended but still optional to access public models or datasets.\n", + " warnings.warn(\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "processor_config.json: 0%| | 0.00/72.0 [00:00