| ```CODE: |
| # Use a pipeline as a high-level helper |
| from transformers import pipeline |
|
|
| pipe = pipeline("text-generation", model="0xSero/GLM-4.7-REAP-50-W4A16") |
| messages = [ |
| {"role": "user", "content": "Who are you?"}, |
| ] |
| pipe(messages) |
| ``` |
|
|
| ERROR: |
| Traceback (most recent call last): |
| File "/tmp/0xSero_GLM-4.7-REAP-50-W4A16_0mqIr0K.py", line 26, in <module> |
| pipe = pipeline("text-generation", model="0xSero/GLM-4.7-REAP-50-W4A16") |
| File "/tmp/.cache/uv/environments-v2/57fea2d03e820408/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-v2/57fea2d03e820408/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-v2/57fea2d03e820408/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 604, in from_pretrained |
| return model_class.from_pretrained( |
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^ |
| pretrained_model_name_or_path, *model_args, config=config, **hub_kwargs, **kwargs |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ |
| ) |
| ^ |
| File "/tmp/.cache/uv/environments-v2/57fea2d03e820408/lib/python3.13/site-packages/transformers/modeling_utils.py", line 277, in _wrapper |
| return func(*args, **kwargs) |
| File "/tmp/.cache/uv/environments-v2/57fea2d03e820408/lib/python3.13/site-packages/transformers/modeling_utils.py", line 4881, in from_pretrained |
| hf_quantizer, config, dtype, device_map = get_hf_quantizer( |
| ~~~~~~~~~~~~~~~~^ |
| config, quantization_config, dtype, from_tf, from_flax, device_map, weights_only, user_agent |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ |
| ) |
| ^ |
| File "/tmp/.cache/uv/environments-v2/57fea2d03e820408/lib/python3.13/site-packages/transformers/quantizers/auto.py", line 311, in get_hf_quantizer |
| hf_quantizer = AutoHfQuantizer.from_config( |
| config.quantization_config, |
| pre_quantized=pre_quantized, |
| ) |
| File "/tmp/.cache/uv/environments-v2/57fea2d03e820408/lib/python3.13/site-packages/transformers/quantizers/auto.py", line 185, in from_config |
| return target_cls(quantization_config, **kwargs) |
| File "/tmp/.cache/uv/environments-v2/57fea2d03e820408/lib/python3.13/site-packages/transformers/quantizers/quantizer_gptq.py", line 49, in __init__ |
| raise ImportError("Loading a GPTQ quantized model requires optimum (`pip install optimum`)") |
| ImportError: Loading a GPTQ quantized model requires optimum (`pip install optimum`) |
|
|
