v4.53.3

setup.py

@@ -457,7 +457,7 @@ install_requires = [
 
 setup(
     name="transformers",
-    version="4.53.2",  # expected format is one of x.y.z.dev0, or x.y.z.rc1 or x.y.z (no to dashes, yes to dots)
+    version="4.53.3",  # expected format is one of x.y.z.dev0, or x.y.z.rc1 or x.y.z (no to dashes, yes to dots)
     author="The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/graphs/contributors)",
     author_email="transformers@huggingface.co",
     description="State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow",

src/transformers/__init__.py

@@ -18,7 +18,7 @@
 # to defer the actual importing for when the objects are requested. This way `import transformers` provides the names
 # in the namespace without actually importing anything (and especially none of the backends).
 
-__version__ = "4.53.2"
+__version__ = "4.53.3"
 
 from pathlib import Path
 from typing import TYPE_CHECKING

src/transformers/utils/metrics.py

@@ -20,27 +20,9 @@ class RequestStatus(Enum):
 
 
 try:
-    from opentelemetry import metrics, trace
-    from opentelemetry.exporter.otlp.proto.http.metric_exporter import OTLPMetricExporter
-    from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
-    from opentelemetry.sdk.metrics import MeterProvider
-    from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader
-    from opentelemetry.sdk.resources import Resource
-    from opentelemetry.sdk.trace import TracerProvider
-    from opentelemetry.sdk.trace.export import BatchSpanProcessor
+    from opentelemetry import metrics
     from opentelemetry.trace import Status, StatusCode, get_tracer
 
-    resource = Resource.create({"service.name": "transformers"})
-
-    metrics_exporter = PeriodicExportingMetricReader(OTLPMetricExporter(), export_interval_millis=1000)
-    meter_provider = MeterProvider(resource=resource, metric_readers=[metrics_exporter])
-    metrics.set_meter_provider(meter_provider)
-
-    trace_exporter = OTLPSpanExporter()
-    tracer_provider = TracerProvider(resource=resource)
-    tracer_provider.add_span_processor(BatchSpanProcessor(trace_exporter))
-    trace.set_tracer_provider(tracer_provider)
-
     _has_opentelemetry = True
 except ImportError:
     _has_opentelemetry = False