Fix fp16 (--half) support for TritonRemoteModel model type (#10787)

* Fix fp16 (--half) support for TritonRemoteModel

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

models/common.py

@@ -333,7 +333,7 @@ class DetectMultiBackend(nn.Module):
         super().__init__()
         w = str(weights[0] if isinstance(weights, list) else weights)
         pt, jit, onnx, xml, engine, coreml, saved_model, pb, tflite, edgetpu, tfjs, paddle, triton = self._model_type(w)
-        fp16 &= pt or jit or onnx or engine  # FP16
+        fp16 &= pt or jit or onnx or engine or triton  # FP16
         nhwc = coreml or saved_model or pb or tflite or edgetpu  # BHWC formats (vs torch BCWH)
         stride = 32  # default stride
         cuda = torch.cuda.is_available() and device.type != 'cpu'  # use CUDA