Instructions to use kunal732/TiRex-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use kunal732/TiRex-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir TiRex-mlx kunal732/TiRex-mlx
- TiRex
How to use kunal732/TiRex-mlx with TiRex:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
| { | |
| "model_type": "tirex", | |
| "ts_model_class": "TiRexModel", | |
| "hidden_size": 512, | |
| "num_layers": 12, | |
| "input_format": "patches", | |
| "output_format": "quantiles", | |
| "context_length": 2048, | |
| "prediction_length": 64, | |
| "embedding_dim": 512, | |
| "input_patch_size": 32, | |
| "output_patch_size": 32, | |
| "num_heads": 4, | |
| "ffn_proj_factor": 2.6667, | |
| "quantiles": [ | |
| 0.1, | |
| 0.2, | |
| 0.3, | |
| 0.4, | |
| 0.5, | |
| 0.6, | |
| 0.7, | |
| 0.8, | |
| 0.9 | |
| ] | |
| } |