Instructions to use rohanth/tensor-forest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use rohanth/tensor-forest 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("rohanth/tensor-forest") - Notebooks
- Google Colab
- Kaggle
Download runs/detect/train2/weights/best.torchscript from rohanth/tensor-forest: direct link, hf CLI and curl.
- Browser
- Download file 12.4 MB
-
https://huggingface.co/rohanth/tensor-forest/resolve/main/runs/detect/train2/weights/best.torchscript
- Command line
-
hf download hf://rohanth/tensor-forest/runs/detect/train2/weights/best.torchscript
-
curl -L -o best.torchscript https://huggingface.co/rohanth/tensor-forest/resolve/main/runs/detect/train2/weights/best.torchscript
12.4 MB
- Xet hash:
- d70755244b201fa927c7127cce3df9a0f671bac5986f63db866b3849c9fcac52
- Size of remote file:
- 12.4 MB
- SHA256:
- bf75899b5d74ff685360635965f50f31b6fa6ffb4977987da23b223d241b4fbd
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