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 training_args.bin from awais1998/floorplan-vlm-sft: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/awais1998/floorplan-vlm-sft/resolve/main/training_args.bin
- Command line
-
hf download hf://awais1998/floorplan-vlm-sft/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/awais1998/floorplan-vlm-sft/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- 87314bcf3ef798138a73d11f811ffa675599d45e0236fdd93251e30c5744c095
- Size of remote file:
- 5.78 kB
- SHA256:
- d602945e8b4a4e1649ada6a51721952d01f0b7f4d63b89ab97771207d2634678
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