Transformers
TensorBoard
Safetensors
custom_model
image-regression
human-movement
vision
Generated from Trainer
Instructions to use c14kevincardenas/limbxy_pose_2heads_1layers_32embeddim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use c14kevincardenas/limbxy_pose_2heads_1layers_32embeddim with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("c14kevincardenas/limbxy_pose_2heads_1layers_32embeddim", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 816fec02ee1643ffad20512927d1dce95cc78d96e9f9b637158a696fe9fb6bb0
- Size of remote file:
- 5.24 kB
- SHA256:
- f845291c2ae5b642d755b1d4f4a520eb62f5f627516c5d7e925a7a22598f14aa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.