Bonsai-27B-GGUF
lmstudio-community · Kit
A GGUF conversion of the 27B Bonsai model for LM Studio, with a 3.80 GB Q1_0 language file and a 0.93 GB BF16 vision projector. Tested for text, vision and par…
Recognizes hand-drawn sketches with a saved model in a Gradio page, for people who want to try a small doodle classifier or study a simple image demo.
Quickdraw is a kit in the Education category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download hitchhiker3010/quickdraw --repo-type space --local-dir quickdraw cd quickdraw
Quickdraw is a Gradio app that, by its name, recognizes hand-drawn sketches. It runs a saved model stored in model.pkl. The record does not say which drawings or categories the model knows.
It suits people who like to try doodle recognition and developers who want a tiny Gradio example with one model file. The record has no description beyond the file list, so look at the page for what it accepts.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Education | Students of machine learning | See an image classifier running in a web page | Draw a quick sketch and read the guess |
| Software | Python developers | Copy a minimal app with a saved model | Read app.py next to model.pkl |
| Hobby projects | Curious makers | Test how well a model reads rough drawings | Try the same object drawn two ways |
You can skip it if you need a documented recognizer with known categories.
| Use case | Who | What they get back |
|---|---|---|
| Try sketch recognition | Anyone | The model's guess for a drawing |
| Study a minimal demo | Learners | A small app, one model file and a package list |
| Reuse as a base | Developers | A starting folder for their own classifier |
pip install -U huggingface_hub hf download hitchhiker3010/quickdraw --repo-type space --local-dir quickdraw cd quickdraw pip install gradio pip install -r requirements.txt python app.py
Online, open the Space and use the controls on its page. On your own machine, run the main file from the Space folder, then use the page it serves. The record does not list the controls, so look at the page.
python app.py
You open the Space and give it a quick sketch of an everyday object. The app returns the model's guess at what the drawing shows. The record shows no sample, so check the page for how to provide the drawing.
A classifier looks at an input and picks the label it fits best. Start by opening the Space and drawing something simple to see what the model says.
If you know the field, the app loads a pickled model from model.pkl and serves it with Gradio. The record pins an older Python version, 3.7.12, so a modern setup may need a matching environment. No accuracy figures are given.
Recognizes hand-drawn sketches with a saved model in a Gradio page, for people who want to try a small doodle classifier or study a simple image demo.
Made by hitchhiker3010 on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.
What it is: Quickdraw is a Gradio app that, by its name, recognizes hand-drawn sketches. It runs a saved model stored in model.pkl. The record does not say which drawings or categories the model knows.
Who it suits: It suits people who like to try doodle recognition and developers who want a tiny Gradio example with one model file. The record has no description beyond the file list, so look at the page for what it accepts.
Industry | Who uses it | How they use it | Example
Education | Students of machine learning | See an image classifier running in a web page | Draw a quick sketch and read the guess
Software | Python developers | Copy a minimal app with a saved model | Read app.py next to model.pkl
Hobby projects | Curious makers | Test how well a model reads rough drawings | Try the same object drawn two ways
You can skip it if you need a documented recognizer with known categories.
Where to use it:
Use case | Who | What they get back
Try sketch recognition | Anyone | The model's guess for a drawing
Study a minimal demo | Learners | A small app, one model file and a package list
Reuse as a base | Developers | A starting folder for their own classifier
How to set it up:
pip install -U huggingface_hub
hf download hitchhiker3010/quickdraw --repo-type space --local-dir quickdraw
cd quickdraw
pip install gradio
pip install -r requirements.txt
python app.py
How to use it: Online, open the Space and use the controls on its page. On your own machine, run the main file from the Space folder, then use the page it serves. The record does not list the controls, so look at the page.
python app.py
Example: You open the Space and give it a quick sketch of an everyday object. The app returns the model's guess at what the drawing shows. The record shows no sample, so check the page for how to provide the drawing.
For newcomers and experts: A classifier looks at an input and picks the label it fits best. Start by opening the Space and drawing something simple to see what the model says.
If you know the field, the app loads a pickled model from model.pkl and serves it with Gradio. The record pins an older Python version, 3.7.12, so a modern setup may need a matching environment. No accuracy figures are given.
You draw or upload a sketch
The Gradio page sends it to app.py
The model in model.pkl scores it
The page shows the guess
Good to know:
Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.
README.md 4 KB
Listed Hugging Face Spaces in the same category that share the most tags with this one.
| Product | Likes | Built with | License | Last change |
|---|---|---|---|---|
| Quickdraw This page | 0 | gradio | afl-3.0 | |
| Unit 1 Quiz - AI Agent FundementalsShares gradio | 360 | gradio | apache-2.0 | |
| Unit 2.1 smolagents Code QuizShares gradio | 63 | gradio | apache-2.0 | |
| Unit 1 Quiz - Model Context Protocol (MCP) FundementalsShares gradio | 58 | gradio | apache-2.0 | |
| Tamazight Text-to-SpeechShares gradio | 41 | gradio | cc-by-4.0 | |
| Embedding Draw ChallengeShares gradio | 30 | gradio | apache-2.0 |
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