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| "\u001b[?25h Building wheel for optimum (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", | |
| " Building wheel for transformers (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "!pip -q install accelerate auto-gptq git+https://github.com/huggingface/optimum.git git+https://github.com/huggingface/transformers.git" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "import json\n", | |
| "\n", | |
| "from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline" | |
| ], | |
| "metadata": { | |
| "id": "ueqiy4GU1wqO" | |
| }, | |
| "execution_count": 2, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "model_name = \"SebastianSchramm/UniNER-7B-type-GPTQ-4bit-128g-actorder_True\"\n", | |
| "\n", | |
| "tokenizer = AutoTokenizer.from_pretrained(model_name)\n", | |
| "model = AutoModelForCausalLM.from_pretrained(model_name, device_map=\"auto\")" | |
| ], | |
| "metadata": { | |
| "id": "Dbf7_AkR2ApV", | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 433, | |
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| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "pipe = pipeline(\"text-generation\", model=model, tokenizer=tokenizer, max_new_tokens=50, return_full_text=False)" | |
| ], | |
| "metadata": { | |
| "id": "WYTz529FFZV0" | |
| }, | |
| "execution_count": 4, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "prompt_template = \"\"\"A virtual assistant answers questions from a user based on the provided text.\n", | |
| "USER: Text: {input_text}\n", | |
| "ASSISTANT: I’ve read this text.\n", | |
| "USER: What describes {entity_name} in the text?\n", | |
| "ASSISTANT:\n", | |
| "\"\"\"" | |
| ], | |
| "metadata": { | |
| "id": "QIVaAMvEVRL5" | |
| }, | |
| "execution_count": 5, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "prompt = prompt_template.format_map({\"input_text\": \"Cologne is a great city in Germany - maybe even the greatest ;)\", \"entity_name\": \"city\"})" | |
| ], | |
| "metadata": { | |
| "id": "k5xr9oPGVmWS" | |
| }, | |
| "execution_count": 6, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "json.loads(pipe(prompt)[0]['generated_text'])" | |
| ], | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "fkfK8SQ0WKtx", | |
| "outputId": "bb9e6c3d-ded5-4204-dd95-9059e4736ef3" | |
| }, | |
| "execution_count": 8, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "['Cologne']" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "execution_count": 8 | |
| } | |
| ] | |
| } | |
| ] | |
| } |
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