Upload stepfun-ai_Step-Audio-EditX_0.txt with huggingface_hub

stepfun-ai_Step-Audio-EditX_0.txt

@@ -0,0 +1,75 @@
+```CODE: 
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("text-to-speech", model="stepfun-ai/Step-Audio-EditX", trust_remote_code=True)
+```
+
+ERROR: 
+Traceback (most recent call last):
+  File "/tmp/stepfun-ai_Step-Audio-EditX_0SyWequ.py", line 24, in <module>
+    pipe = pipeline("text-to-speech", model="stepfun-ai/Step-Audio-EditX", trust_remote_code=True)
+  File "/tmp/.cache/uv/environments-v2/1487291927adee22/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1027, in pipeline
+    framework, model = infer_framework_load_model(
+                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^
+        adapter_path if adapter_path is not None else model,
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+    ...<5 lines>...
+        **model_kwargs,
+        ^^^^^^^^^^^^^^^
+    )
+    ^
+  File "/tmp/.cache/uv/environments-v2/1487291927adee22/lib/python3.13/site-packages/transformers/pipelines/base.py", line 333, in infer_framework_load_model
+    raise ValueError(
+        f"Could not load model {model} with any of the following classes: {class_tuple}. See the original errors:\n\n{error}\n"
+    )
+ValueError: Could not load model stepfun-ai/Step-Audio-EditX with any of the following classes: (<class 'transformers.models.auto.modeling_auto.AutoModelForTextToWaveform'>, <class 'transformers.models.auto.modeling_auto.AutoModelForTextToSpectrogram'>). See the original errors:
+
+while loading with AutoModelForTextToWaveform, an error is thrown:
+Traceback (most recent call last):
+  File "/tmp/.cache/uv/environments-v2/1487291927adee22/lib/python3.13/site-packages/transformers/pipelines/base.py", line 293, in infer_framework_load_model
+    model = model_class.from_pretrained(model, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/1487291927adee22/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 607, in from_pretrained
+    raise ValueError(
+    ...<2 lines>...
+    )
+ValueError: Unrecognized configuration class <class 'transformers_modules.stepfun_hyphen_ai.Step_hyphen_Audio_hyphen_EditX.90a39993d74d1d25099a4e23ec26abce3772b74d.configuration_step1.Step1Config'> for this kind of AutoModel: AutoModelForTextToWaveform.
+Model type should be one of BarkConfig, CsmConfig, FastSpeech2ConformerConfig, FastSpeech2ConformerWithHifiGanConfig, MusicgenConfig, MusicgenMelodyConfig, Qwen2_5OmniConfig, Qwen3OmniMoeConfig, SeamlessM4TConfig, SeamlessM4Tv2Config, VitsConfig.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/tmp/.cache/uv/environments-v2/1487291927adee22/lib/python3.13/site-packages/transformers/pipelines/base.py", line 311, in infer_framework_load_model
+    model = model_class.from_pretrained(model, **fp32_kwargs)
+  File "/tmp/.cache/uv/environments-v2/1487291927adee22/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 607, in from_pretrained
+    raise ValueError(
+    ...<2 lines>...
+    )
+ValueError: Unrecognized configuration class <class 'transformers_modules.stepfun_hyphen_ai.Step_hyphen_Audio_hyphen_EditX.90a39993d74d1d25099a4e23ec26abce3772b74d.configuration_step1.Step1Config'> for this kind of AutoModel: AutoModelForTextToWaveform.
+Model type should be one of BarkConfig, CsmConfig, FastSpeech2ConformerConfig, FastSpeech2ConformerWithHifiGanConfig, MusicgenConfig, MusicgenMelodyConfig, Qwen2_5OmniConfig, Qwen3OmniMoeConfig, SeamlessM4TConfig, SeamlessM4Tv2Config, VitsConfig.
+
+while loading with AutoModelForTextToSpectrogram, an error is thrown:
+Traceback (most recent call last):
+  File "/tmp/.cache/uv/environments-v2/1487291927adee22/lib/python3.13/site-packages/transformers/pipelines/base.py", line 293, in infer_framework_load_model
+    model = model_class.from_pretrained(model, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/1487291927adee22/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 607, in from_pretrained
+    raise ValueError(
+    ...<2 lines>...
+    )
+ValueError: Unrecognized configuration class <class 'transformers_modules.stepfun_hyphen_ai.Step_hyphen_Audio_hyphen_EditX.90a39993d74d1d25099a4e23ec26abce3772b74d.configuration_step1.Step1Config'> for this kind of AutoModel: AutoModelForTextToSpectrogram.
+Model type should be one of FastSpeech2ConformerConfig, SpeechT5Config.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/tmp/.cache/uv/environments-v2/1487291927adee22/lib/python3.13/site-packages/transformers/pipelines/base.py", line 311, in infer_framework_load_model
+    model = model_class.from_pretrained(model, **fp32_kwargs)
+  File "/tmp/.cache/uv/environments-v2/1487291927adee22/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 607, in from_pretrained
+    raise ValueError(
+    ...<2 lines>...
+    )
+ValueError: Unrecognized configuration class <class 'transformers_modules.stepfun_hyphen_ai.Step_hyphen_Audio_hyphen_EditX.90a39993d74d1d25099a4e23ec26abce3772b74d.configuration_step1.Step1Config'> for this kind of AutoModel: AutoModelForTextToSpectrogram.
+Model type should be one of FastSpeech2ConformerConfig, SpeechT5Config.
+
+
+