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Browse files- README.md +1 -1
- app.py +3 -1
- joycaption_alpha_one_cli_mod.ipynb +45 -0
README.md
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---
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# Image Captioning App
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This is a mod of [Wi-zz/joy-caption-pre-alpha](https://huggingface.co/Wi-zz/joy-caption-pre-alpha) and [fancyfeast/joy-caption-alpha-one](https://huggingface.co/spaces/fancyfeast/joy-caption-alpha-one). Thanks to [dominic1021](https://huggingface.co/dominic1021), [IceHibiki](https://huggingface.co/IceHibiki).
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# Notice: I will contribute to Wi-zz after shaping the code.
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---
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# Image Captioning App
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This is a mod of [Wi-zz/joy-caption-pre-alpha](https://huggingface.co/Wi-zz/joy-caption-pre-alpha) and [fancyfeast/joy-caption-alpha-one](https://huggingface.co/spaces/fancyfeast/joy-caption-alpha-one). Thanks to [dominic1021](https://huggingface.co/dominic1021), [IceHibiki](https://huggingface.co/IceHibiki), (BullseyeMxP)[https://huggingface.co/BullseyeMxP], [Wakeme](https://huggingface.co/Wakeme).
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# Notice: I will contribute to Wi-zz after shaping the code.
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app.py
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import torchvision.transforms.functional as TVF
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from peft import PeftModel
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import gc
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# Constants
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HF_TOKEN = os.environ.get("HF_TOKEN", None)
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BASE_DIR = Path(__file__).resolve().parent # Define the base directory
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CLIP_PATH = "google/siglip-so400m-patch14-384"
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DEFAULT_MODEL_PATH = "unsloth/Meta-Llama-3.1-8B-bnb-4bit"
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#DEFAULT_MODEL_PATH = "Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2" # Works better but full weight.
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CHECKPOINT_PATH = BASE_DIR / Path("9em124t2-499968")
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LORA_PATH = CHECKPOINT_PATH / "text_model"
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import torchvision.transforms.functional as TVF
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from peft import PeftModel
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import gc
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import sys
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IS_COLAB = 'google.colab' in sys.modules
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# Constants
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HF_TOKEN = os.environ.get("HF_TOKEN", None)
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BASE_DIR = Path(__file__).resolve().parent # Define the base directory
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CLIP_PATH = "google/siglip-so400m-patch14-384"
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DEFAULT_MODEL_PATH = "unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit"
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#DEFAULT_MODEL_PATH = "Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2" # Works better but full weight.
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CHECKPOINT_PATH = BASE_DIR / Path("9em124t2-499968")
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LORA_PATH = CHECKPOINT_PATH / "text_model"
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joycaption_alpha_one_cli_mod.ipynb
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{
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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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"id": "ZgkQ4kDil23W"
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},
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"outputs": [],
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"source": [
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"!git clone https://huggingface.co/John6666/joy-caption-alpha-one-cli-mod/\n",
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"!pip install -r /content/joy-caption-alpha-one-cli-mod/requirements.txt\n",
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"!pip install bitsandbytes triton\n",
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"!python /content/joy-caption-alpha-one-cli-mod/app.py"
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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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"id": "gPwD8BVsnU7p"
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},
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"outputs": [],
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"source": [
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"!python /content/joy-caption-alpha-one-cli-mod/app.py"
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]
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}
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],
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"metadata": {
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"accelerator": "GPU",
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"colab": {
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"gpuType": "T4",
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"provenance": []
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},
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"kernelspec": {
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"display_name": "Python 3",
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"name": "python3"
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},
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"language_info": {
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"name": "python"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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