Instructions to use skumar1998/result with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use skumar1998/result with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("skumar1998/result", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download removed_files.json from skumar1998/result: direct link, hf CLI and curl.
- Browser
- Download file 174 Bytes
-
https://huggingface.co/skumar1998/result/resolve/main/removed_files.json
- Command line
-
hf download hf://skumar1998/result/removed_files.json
-
curl -L -o removed_files.json https://huggingface.co/skumar1998/result/resolve/main/removed_files.json
174 Bytes
| [ | |
| "/home/ubuntu/dataset/train/facesheet/06973491-2c33-78ad-8000-28b22f42c5ca.json", | |
| "/home/ubuntu/dataset/train/facesheet/06973491-2c33-7d17-8000-50d328faf93c.json" | |
| ] |