Instructions to use l337chode/db2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use l337chode/db2 with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("l337chode/db2") - Notebooks
- Google Colab
- Kaggle
Download metadata.yaml from l337chode/db2: direct link, hf CLI and curl.
- Browser
- Download file 326 Bytes
-
https://huggingface.co/l337chode/db2/resolve/main/metadata.yaml
- Command line
-
hf download hf://l337chode/db2/metadata.yaml
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curl -L -o metadata.yaml https://huggingface.co/l337chode/db2/resolve/main/metadata.yaml
326 Bytes
| description: Ultralytics best model trained on C:\Users\Andy\Desktop\TRAIN\pics\data.yaml | |
| author: Ultralytics | |
| date: '2024-04-14T15:11:07.956976' | |
| version: 8.1.47 | |
| license: AGPL-3.0 License (https://ultralytics.com/license) | |
| docs: https://docs.ultralytics.com | |
| stride: 32 | |
| task: detect | |
| batch: 1 | |
| imgsz: | |
| - 640 | |
| - 640 | |
| names: | |
| 0: drone | |