text
stringlengths 0
696
|
|---|
...<5 lines>...
|
**model_kwargs,
|
^^^^^^^^^^^^^^^
|
)
|
^
|
File "/tmp/.cache/uv/environments-v2/4926ae9e86f11c3f/lib/python3.13/site-packages/transformers/pipelines/base.py", line 292, in infer_framework_load_model
|
model = model_class.from_pretrained(model, **kwargs)
|
File "/tmp/.cache/uv/environments-v2/4926ae9e86f11c3f/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 582, in from_pretrained
|
model_class = get_class_from_dynamic_module(
|
class_ref, pretrained_model_name_or_path, code_revision=code_revision, **hub_kwargs, **kwargs
|
)
|
File "/tmp/.cache/uv/environments-v2/4926ae9e86f11c3f/lib/python3.13/site-packages/transformers/dynamic_module_utils.py", line 570, in get_class_from_dynamic_module
|
final_module = get_cached_module_file(
|
repo_id,
|
...<8 lines>...
|
repo_type=repo_type,
|
)
|
File "/tmp/.cache/uv/environments-v2/4926ae9e86f11c3f/lib/python3.13/site-packages/transformers/dynamic_module_utils.py", line 393, in get_cached_module_file
|
modules_needed = check_imports(resolved_module_file)
|
File "/tmp/.cache/uv/environments-v2/4926ae9e86f11c3f/lib/python3.13/site-packages/transformers/dynamic_module_utils.py", line 225, in check_imports
|
raise ImportError(
|
...<2 lines>...
|
)
|
ImportError: This modeling file requires the following packages that were not found in your environment: causal_conv1d, causal_conv1d_cuda, einops, flash_attn, mamba_ssm, selective_scan_cuda. Run `pip install causal_conv1d causal_conv1d_cuda einops flash_attn mamba_ssm selective_scan_cuda`
|
Traceback (most recent call last):
|
File "/tmp/microsoft_Phi-4-mini-flash-reasoning_1210KUi.py", line 12, in <module>
|
model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-4-mini-flash-reasoning", trust_remote_code=True, torch_dtype="auto"),
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
File "/tmp/.cache/uv/environments-v2/1311277ab17e7af2/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 582, in from_pretrained
|
model_class = get_class_from_dynamic_module(
|
class_ref, pretrained_model_name_or_path, code_revision=code_revision, **hub_kwargs, **kwargs
|
)
|
File "/tmp/.cache/uv/environments-v2/1311277ab17e7af2/lib/python3.13/site-packages/transformers/dynamic_module_utils.py", line 570, in get_class_from_dynamic_module
|
final_module = get_cached_module_file(
|
repo_id,
|
...<8 lines>...
|
repo_type=repo_type,
|
)
|
File "/tmp/.cache/uv/environments-v2/1311277ab17e7af2/lib/python3.13/site-packages/transformers/dynamic_module_utils.py", line 393, in get_cached_module_file
|
modules_needed = check_imports(resolved_module_file)
|
File "/tmp/.cache/uv/environments-v2/1311277ab17e7af2/lib/python3.13/site-packages/transformers/dynamic_module_utils.py", line 225, in check_imports
|
raise ImportError(
|
...<2 lines>...
|
)
|
ImportError: This modeling file requires the following packages that were not found in your environment: causal_conv1d, causal_conv1d_cuda, einops, flash_attn, mamba_ssm, selective_scan_cuda. Run `pip install causal_conv1d causal_conv1d_cuda einops flash_attn mamba_ssm selective_scan_cuda`
|
No suitable GPU found for moonshotai/Kimi-VL-A3B-Thinking-2506 | 79.46 GB VRAM requirement
|
No suitable GPU found for moonshotai/Kimi-VL-A3B-Thinking-2506 | 79.46 GB VRAM requirement
|
No suitable GPU found for naver-hyperclovax/HyperCLOVAX-SEED-Think-14B | 71.42 GB VRAM requirement
|
No suitable GPU found for naver-hyperclovax/HyperCLOVAX-SEED-Think-14B | 71.42 GB VRAM requirement
|
No suitable GPU found for nvidia/Llama-3_3-Nemotron-Super-49B-v1_5 | 120.75 GB VRAM requirement
|
No suitable GPU found for nvidia/Llama-3_3-Nemotron-Super-49B-v1_5 | 120.75 GB VRAM requirement
|
No suitable GPU found for openai/gpt-oss-120b | 291.57 GB VRAM requirement
|
No suitable GPU found for openai/gpt-oss-20b | 52.09 GB VRAM requirement
|
Everything was good in openai_whisper-large-v3_0.txt
|
Everything was good in openai_whisper-large-v3_1.txt
|
Traceback (most recent call last):
|
File "/tmp/openbmb_MiniCPM-V-4_0W72pfK.py", line 13, in <module>
|
pipe = pipeline("image-text-to-text", model="openbmb/MiniCPM-V-4", trust_remote_code=True)
|
File "/tmp/.cache/uv/environments-v2/317c323bcddb3855/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1008, 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-v2/317c323bcddb3855/lib/python3.13/site-packages/transformers/pipelines/base.py", line 332, 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 openbmb/MiniCPM-V-4 with any of the following classes: (<class 'transformers.models.auto.modeling_auto.AutoModelForImageTextToText'>,). See the original errors:
|
while loading with AutoModelForImageTextToText, an error is thrown:
|
Traceback (most recent call last):
|
File "/tmp/.cache/uv/environments-v2/317c323bcddb3855/lib/python3.13/site-packages/transformers/pipelines/base.py", line 292, in infer_framework_load_model
|
model = model_class.from_pretrained(model, **kwargs)
|
File "/tmp/.cache/uv/environments-v2/317c323bcddb3855/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 603, in from_pretrained
|
raise ValueError(
|
...<2 lines>...
|
)
|
ValueError: Unrecognized configuration class <class 'transformers_modules.openbmb.MiniCPM-V-4.2c0ac549e120638e561951068f27ef5f6bd17a5f.configuration_minicpm.MiniCPMVConfig'> for this kind of AutoModel: AutoModelForImageTextToText.
|
Model type should be one of AriaConfig, AyaVisionConfig, BlipConfig, Blip2Config, ChameleonConfig, Cohere2VisionConfig, DeepseekVLConfig, DeepseekVLHybridConfig, Emu3Config, EvollaConfig, FuyuConfig, Gemma3Config, Gemma3nConfig, GitConfig, Glm4vConfig, GotOcr2Config, IdeficsConfig, Idefics2Config, Idefics3Config, InstructBlipConfig, InternVLConfig, JanusConfig, Kosmos2Config, Llama4Config, LlavaConfig, LlavaNextConfig, LlavaNextVideoConfig, LlavaOnevisionConfig, Mistral3Config, MllamaConfig, PaliGemmaConfig, PerceptionLMConfig, Pix2StructConfig, PixtralVisionConfig, Qwen2_5_VLConfig, Qwen2VLConfig, ShieldGemma2Config, SmolVLMConfig, UdopConfig, VipLlavaConfig, VisionEncoderDecoderConfig.
|
During handling of the above exception, another exception occurred:
|
Traceback (most recent call last):
|
File "/tmp/.cache/uv/environments-v2/317c323bcddb3855/lib/python3.13/site-packages/transformers/pipelines/base.py", line 310, in infer_framework_load_model
|
model = model_class.from_pretrained(model, **fp32_kwargs)
|
File "/tmp/.cache/uv/environments-v2/317c323bcddb3855/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 603, in from_pretrained
|
raise ValueError(
|
...<2 lines>...
|
)
|
ValueError: Unrecognized configuration class <class 'transformers_modules.openbmb.MiniCPM-V-4.2c0ac549e120638e561951068f27ef5f6bd17a5f.configuration_minicpm.MiniCPMVConfig'> for this kind of AutoModel: AutoModelForImageTextToText.
|
Model type should be one of AriaConfig, AyaVisionConfig, BlipConfig, Blip2Config, ChameleonConfig, Cohere2VisionConfig, DeepseekVLConfig, DeepseekVLHybridConfig, Emu3Config, EvollaConfig, FuyuConfig, Gemma3Config, Gemma3nConfig, GitConfig, Glm4vConfig, GotOcr2Config, IdeficsConfig, Idefics2Config, Idefics3Config, InstructBlipConfig, InternVLConfig, JanusConfig, Kosmos2Config, Llama4Config, LlavaConfig, LlavaNextConfig, LlavaNextVideoConfig, LlavaOnevisionConfig, Mistral3Config, MllamaConfig, PaliGemmaConfig, PerceptionLMConfig, Pix2StructConfig, PixtralVisionConfig, Qwen2_5_VLConfig, Qwen2VLConfig, ShieldGemma2Config, SmolVLMConfig, UdopConfig, VipLlavaConfig, VisionEncoderDecoderConfig.
|
Traceback (most recent call last):
|
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