Zero-Shot Classification
MLX
Safetensors
English
multilingual
qwen3_5
jang
quantized
apple-silicon
osaurus
decision-model
classification
multimodal
vision
video
8-bit precision
Instructions to use OsaurusAI/d3-JANG_4M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use OsaurusAI/d3-JANG_4M with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download OsaurusAI/d3-JANG_4M --local-dir d3-JANG_4M
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from OsaurusAI/d3-JANG_4M: direct link, hf CLI and curl.
- Browser
- Download file 12.8 MB
-
https://huggingface.co/OsaurusAI/d3-JANG_4M/resolve/main/tokenizer.json
- Command line
-
hf download hf://OsaurusAI/d3-JANG_4M/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/OsaurusAI/d3-JANG_4M/resolve/main/tokenizer.json
12.8 MB
- Xet hash:
- ddca7e708ff0da8902fdcef5209d5eea8bf922715733eb02f93026a37478e426
- Size of remote file:
- 12.8 MB
- SHA256:
- 0997f410c57a1f4e53b09e4be8f4a172d90edd9564368fb0847030937229b9f3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.