Instructions to use awais1998/floorplan-vlm-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use awais1998/floorplan-vlm-sft with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("awais1998/floorplan-vlm-sft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from awais1998/floorplan-vlm-sft: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/awais1998/floorplan-vlm-sft/resolve/main/tokenizer.json
- Command line
-
hf download hf://awais1998/floorplan-vlm-sft/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/awais1998/floorplan-vlm-sft/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- f0439d39130153a81567f0109f5c3096020aca66afcbeaafd20804a48275a2a5
- Size of remote file:
- 11.4 MB
- SHA256:
- 6d70dbf69a6048a353af44abdc83d4837775b8398f61d8ebb523332483d5a53e
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