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- added .ipynb notebook file

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+ "cells": [
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+ {
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+ "cell_type": "code",
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+ "source": [
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+ "%%capture\n",
2083
+ "!pip install unsloth\n",
2084
+ "# Also get the latest nightly Unsloth!\n",
2085
+ "!pip uninstall unsloth -y && pip install --upgrade --no-cache-dir --no-deps git+https://github.com/unslothai/unsloth.git@nightly git+https://github.com/unslothai/unsloth-zoo.git"
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+ ],
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+ "id": "pZ0zodrFlV0C"
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+ "outputs": []
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+ },
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+ {
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+ "cell_type": "code",
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+ "source": [
2096
+ "from unsloth import FastLanguageModel\n",
2097
+ "import torch\n",
2098
+ "max_seq_length = 2048 # Choose any! We auto support RoPE Scaling internally!\n",
2099
+ "dtype = None # None for auto detection. Float16 for Tesla T4, V100, Bfloat16 for Ampere+\n",
2100
+ "load_in_4bit = True # Use 4bit quantization to reduce memory usage. Can be False.\n",
2101
+ "\n",
2102
+ "model, tokenizer = FastLanguageModel.from_pretrained(\n",
2103
+ " model_name = \"bbayrm0/lora_model\", # or choose \"unsloth/Llama-3.2-1B-Instruct\"\n",
2104
+ " max_seq_length = max_seq_length,\n",
2105
+ " dtype = dtype,\n",
2106
+ " load_in_4bit = load_in_4bit,\n",
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+ " # token = \"hf_...\", # use one if using gated models like meta-llama/Llama-2-7b-hf\n",
2108
+ ")"
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+ ],
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+ },
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+ "outputs": [
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+ {
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+ "output_type": "stream",
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+ "name": "stdout",
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+ "text": [
2192
+ "🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.\n",
2193
+ "🦥 Unsloth Zoo will now patch everything to make training faster!\n",
2194
+ "==((====))== Unsloth 2025.8.10: Fast Llama patching. Transformers: 4.55.4.\n",
2195
+ " \\\\ /| Tesla T4. Num GPUs = 1. Max memory: 14.741 GB. Platform: Linux.\n",
2196
+ "O^O/ \\_/ \\ Torch: 2.8.0+cu126. CUDA: 7.5. CUDA Toolkit: 12.6. Triton: 3.4.0\n",
2197
+ "\\ / Bfloat16 = FALSE. FA [Xformers = 0.0.32.post2. FA2 = False]\n",
2198
+ " \"-____-\" Free license: http://github.com/unslothai/unsloth\n",
2199
+ "Unsloth: Fast downloading is enabled - ignore downloading bars which are red colored!\n"
2200
+ ]
2201
+ },
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+ {
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+ "output_type": "display_data",
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+ "data": {
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+ "text/plain": [
2206
+ "model.safetensors: 0%| | 0.00/5.70G [00:00<?, ?B/s]"
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+ }
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+ ],
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+ "model_id": "a8d2fc4c648142c49f01fa08f8e5838f"
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+ }
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+ },
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+ "metadata": {}
2271
+ },
2272
+ {
2273
+ "output_type": "display_data",
2274
+ "data": {
2275
+ "text/plain": [
2276
+ "adapter_model.safetensors: 0%| | 0.00/168M [00:00<?, ?B/s]"
2277
+ ],
2278
+ "application/vnd.jupyter.widget-view+json": {
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+ "version_major": 2,
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+ "version_minor": 0,
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+ "model_id": "cac183c4d6974a9b807f5dd695e98c96"
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+ }
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+ },
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+ "metadata": {}
2285
+ },
2286
+ {
2287
+ "output_type": "stream",
2288
+ "name": "stderr",
2289
+ "text": [
2290
+ "Unsloth 2025.8.10 patched 32 layers with 32 QKV layers, 32 O layers and 32 MLP layers.\n"
2291
+ ]
2292
+ }
2293
+ ]
2294
+ },
2295
+ {
2296
+ "cell_type": "code",
2297
+ "source": [
2298
+ "FastLanguageModel.for_inference(model) # Enable native 2x faster inference\n",
2299
+ "\n",
2300
+ "messages = [{\n",
2301
+ " \"role\": \"user\", \"content\": \"ROI 1 hatası alıyorum? Ne yapmalıyım?\"\n",
2302
+ " },\n",
2303
+ "]\n",
2304
+ "inputs = tokenizer.apply_chat_template(\n",
2305
+ " messages,\n",
2306
+ " tokenize = True,\n",
2307
+ " add_generation_prompt = True, # Must add for generation\n",
2308
+ " return_tensors = \"pt\",\n",
2309
+ ").to(\"cuda\")\n",
2310
+ "\n",
2311
+ "from transformers import TextStreamer\n",
2312
+ "text_streamer = TextStreamer(tokenizer, skip_prompt = True)\n",
2313
+ "_ = model.generate(input_ids = inputs, streamer = text_streamer, max_new_tokens = 250,\n",
2314
+ " use_cache = True, temperature = 1, min_p = 0.1)"
2315
+ ],
2316
+ "metadata": {
2317
+ "colab": {
2318
+ "base_uri": "https://localhost:8080/"
2319
+ },
2320
+ "id": "kir9wHzMrEBZ",
2321
+ "outputId": "c064fd1a-9d79-42c1-d9ce-72e79d2b56cd"
2322
+ },
2323
+ "execution_count": 18,
2324
+ "outputs": [
2325
+ {
2326
+ "output_type": "stream",
2327
+ "name": "stdout",
2328
+ "text": [
2329
+ "🔍 ROI 1 HATASI:\n",
2330
+ "\n",
2331
+ "➤ Görüntü işleme algoritması başarısız oldu\n",
2332
+ "➤ Aydınlatma seviyesi düşük\n",
2333
+ "➤ Görüntü kalitesi poor\n",
2334
+ "➤ ROI tanımlaması hata yaptı\n",
2335
+ "\n",
2336
+ "💡 Çözüm:\n",
2337
+ "\n",
2338
+ "➤ Aydınlatma seviyesini optimize edin\n",
2339
+ "➤ Görüntü kalitesini improve edin\n",
2340
+ "➤ ROI tanımlaması yeniden yapın\n",
2341
+ "➤ Görüntü işleme algoritmasını update edin<|eot_id|>\n"
2342
+ ]
2343
+ }
2344
+ ]
2345
+ },
2346
+ {
2347
+ "cell_type": "code",
2348
+ "source": [],
2349
+ "metadata": {
2350
+ "id": "TTqTYvgquMy4"
2351
+ },
2352
+ "execution_count": null,
2353
+ "outputs": []
2354
+ }
2355
+ ]
2356
+ }