Instructions to use TiGa-RCE/Scalpel-VL-1.6B-oQ2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use TiGa-RCE/Scalpel-VL-1.6B-oQ2 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download TiGa-RCE/Scalpel-VL-1.6B-oQ2 --local-dir Scalpel-VL-1.6B-oQ2
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from TiGa-RCE/Scalpel-VL-1.6B-oQ2: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/TiGa-RCE/Scalpel-VL-1.6B-oQ2/resolve/main/tokenizer.json
- Command line
-
hf download hf://TiGa-RCE/Scalpel-VL-1.6B-oQ2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/TiGa-RCE/Scalpel-VL-1.6B-oQ2/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- dde3c5a4d468da6fe61f11ffa8f04af2d101f8f4a0fe118c37bd31bb8c3017b6
- Size of remote file:
- 11.4 MB
- SHA256:
- be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
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