Update README.md

README.md

@@ -30,3 +30,42 @@ This checkpoint is not an officially supported Google product. See [TimesFM in B
 - [Wikimedia Pageviews](https://meta.wikimedia.org/wiki/Pageviews_Analysis), cutoff Nov 2023 (see [paper](https://arxiv.org/abs/2310.10688) for details).
 - [Google Trends](https://trends.google.com/trends/) top queries, cutoff EoY 2022 (see [paper](https://arxiv.org/abs/2310.10688) for details).
 - Synthetic and augmented data.
+
+### Install
+
+`pip install` from PyPI coming soon. At this point, please run
+
+```shell
+git clone https://github.com/google-research/timesfm.git
+cd timesfm
+pip install -e .
+```
+
+### Code Example
+
+```python
+import numpy as np
+import timesfm
+model = timesfm.TimesFM_2p5_200M_torch()
+model.load_checkpoint()
+model.compile(
+    timesfm.ForecastConfig(
+        max_context=1024,
+        max_horizon=256,
+        normalize_inputs=True,
+        use_continuous_quantile_head=True,
+        force_flip_invariance=True,
+        infer_is_positive=True,
+        fix_quantile_crossing=True,
+    )
+)
+point_forecast, quantile_forecast = model.forecast(
+    horizon=12,
+    inputs=[
+        np.linspace(0, 1, 100),
+        np.sin(np.linspace(0, 20, 67)),
+    ],  # Two dummy inputs
+)
+point_forecast.shape  # (2, 12)
+quantile_forecast.shape  # (2, 12, 10): mean, then 10th to 90th quantiles.
+```