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PinkPixel/Purlie-2B

sourceHugging Faceapache-2.0updated 5mo agoView on Hugging Face
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Model Card

<p align="center"> <img src="logo.png" width="300" height="300" alt="Purlie-2B Logo"> </p>

✨ Purlie-2B: The Crochet Translation Model ✨

Purlie-2B is a specialized multimodal vision-language model fine-tuned for the crochet community. It excels at translating Vietnamese crochet patterns into standard English terminology and can extract pattern instructions directly from images.

Whether you're looking at a handwritten chart, a social media screenshot, or a text-based pattern, Purlie-2B understands the unique shorthand and technical nuances of crochet.

🚀 Key Features

  • —🇻🇳 Vietnamese to 🇺🇸 English Translation: Translates technical crochet terms (e.g., "mũi móc đơn" to "single crochet") and abbreviations.
  • —🖼️ Image-to-Pattern Extraction: Recognizes crochet patterns within images and converts them to structured text.
  • —🧶 Technical Expertise: Understands specific techniques like BLO (Back Loop Only), FLO (Front Loop Only), Magic Rings (MR), and complex stitch combinations.
  • —⚡ Optimized for Inference: Compatible with Unsloth and standard Hugging Face transformers.

📊 Example Usage

Text Translation (Vietnamese to English)

Prompt:

Dịch đoạn mã móc len sau sang tiếng Anh: Hàng 1: MR, 6 mũi móc đơn (6) Hàng 2: 6 mũi tăng (12) Hàng 3: (1 mũi móc đơn, 1 mũi tăng) x 6 (18)

Purlie-2B Response:

Row 1: MR, 6 single crochet (6) Row 2: 6 increase (12) Row 3: (1 single crochet, 1 increase) x 6 (18)

Image Extraction & Translation

Prompt:

Dịch những gì bạn thấy trong hình ảnh này sang tiếng Anh chuyên ngành móc len.

Purlie-2B Response (based on pattern_test_image.jpg):

Crochet pattern for a cute cat face charm 1. White yarn 1. Mr 6x 2. 6v 3. (x,v)6 4. (x,v,x)6 5. 4x, 3TV, x, FE, FT, 4sl, TF,EF, x, 3TV, 4x 6. (2ch,sl) in various colors Tiktok: Bích Ngọc

🛠️ How to Use

You can load Purlie-2B using the unsloth library for fast inference or standard transformers.

python
from unsloth import FastVisionModel

model, tokenizer = FastVisionModel.from_pretrained(
    model_name = "PinkPixel/Purlie-2B",
    load_in_4bit = False,
)
FastVisionModel.for_inference(model)

📜 License

This model is licensed under the Apache 2.0 License. See the LICENSE file for details.

💖 Credits & Support

Made with ❤️ by Pink Pixel

Dream it, Pixel it ✨