Time Series Forecasting
MLX
Safetensors
apple-silicon
timestral
time-series
forecasting
quantile-regression
Instructions to use jbilcke/timestral-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use jbilcke/timestral-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download jbilcke/timestral-mlx --local-dir timestral-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download reports/installation.json from jbilcke/timestral-mlx: direct link, hf CLI and curl.
- Browser
- Download file 613 Bytes
-
https://huggingface.co/jbilcke/timestral-mlx/resolve/main/reports/installation.json
- Command line
-
hf download hf://jbilcke/timestral-mlx/reports/installation.json
-
curl -L -o installation.json https://huggingface.co/jbilcke/timestral-mlx/resolve/main/reports/installation.json
613 Bytes
| { | |
| "installed_wheel": true, | |
| "offline": true, | |
| "torch_installed": false, | |
| "results": [ | |
| { | |
| "variant": "5M", | |
| "passed": true, | |
| "shape": [ | |
| 1, | |
| 1, | |
| 65, | |
| 21 | |
| ] | |
| }, | |
| { | |
| "variant": "28M", | |
| "passed": true, | |
| "shape": [ | |
| 1, | |
| 1, | |
| 65, | |
| 21 | |
| ] | |
| }, | |
| { | |
| "variant": "123M", | |
| "passed": true, | |
| "shape": [ | |
| 1, | |
| 1, | |
| 65, | |
| 21 | |
| ] | |
| }, | |
| { | |
| "variant": "209M", | |
| "passed": true, | |
| "shape": [ | |
| 1, | |
| 1, | |
| 65, | |
| 21 | |
| ] | |
| } | |
| ] | |
| } | |