Add Daft to bucket integrations (#2616)

* Add Daft to bucket integrations

* Pass the HF token explicitly in the Daft bucket example

Daft's hf:// connector needs the token via IOConfig(hf=HuggingFaceConfig(...)); the bare read returns Unauthorized on (always-private) buckets. Verified against daft 0.7.17.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

Author: davanstrien

docs/hub/storage-buckets-integrations.md

@@ -21,6 +21,19 @@ import dask.dataframe as dd
 df = dd.read_parquet("hf://buckets/username/my-bucket/data.parquet")
 ```
 
+## Daft
+
+Daft supports `hf://buckets/` paths natively, with [Xet-accelerated reads](https://docs.daft.ai/en/stable/connectors/huggingface/) enabled by default:
+
+```python
+import daft
+from daft.io import IOConfig, HuggingFaceConfig
+from huggingface_hub import get_token
+
+io_config = IOConfig(hf=HuggingFaceConfig(token=get_token()))
+df = daft.read_parquet("hf://buckets/username/my-bucket/data.parquet", io_config=io_config)
+```
+
 ## PyArrow
 
 ```python
@@ -88,4 +101,4 @@ text_files = hffs.glob("buckets/username/my-bucket/*.txt")
 
 ## Coming soon
 
-Native `hf://` URL support is on the way for more libraries — including Polars, DuckDB, Daft, and webdataset. In the meantime, all of these already work today through the [S3-compatible API](./storage-buckets-s3).
+Native `hf://` URL support is on the way for more libraries — including Polars, DuckDB, and webdataset. In the meantime, all of these already work today through the [S3-compatible API](./storage-buckets-s3).