Keep Torch Hub as the only loading path

README.md

@@ -35,22 +35,6 @@ print(model.labels[index])
 This call downloads `perch_v2_torch.pt` from this Hugging Face repository and
 caches it locally.
 
-### With `huggingface_hub`
-
-From the [GitHub repository](https://github.com/janclemenslab/perch2_torch)
-checkout:
-
-```python
-from huggingface_hub import hf_hub_download
-from perch import load_model
-
-checkpoint = hf_hub_download(
-    "DAS-DeepAudioSegmenter/perch2-torch",
-    "perch_v2_torch.pt",
-)
-model = load_model(checkpoint).eval()
-```
-
 Inputs are mono, 32 kHz waveforms with shape `(time,)` or `(batch, time)`.
 Audio longer than five seconds is processed in overlapping windows and pooled.