Does anybody knows why demo is not working?
I get same error when running "Usage examples" on Python 3.13 inside Jupyter notebook.
Error: AttributeError: 'GLiClassModelConfig' object has no attribute 'pad_token_id'
Example:
from gliclass import GLiClassModel, ZeroShotClassificationPipeline
from transformers import AutoTokenizer
model = GLiClassModel.from_pretrained("knowledgator/gliclass-small-v1.0")
tokenizer = AutoTokenizer.from_pretrained("knowledgator/gliclass-small-v1.0")
pipeline = ZeroShotClassificationPipeline(
model, tokenizer, classification_type='multi-label', device='cuda:0'
)
text = "One day I will see the world!"
labels = ["travel", "dreams", "sport", "science", "politics"]
results = pipeline(text, labels, threshold=0.5)[0]
for result in results:
print(f"{result['label']} => {result['score']:.3f}")Full ouptut:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Cell In[2], line 4
1 from gliclass import GLiClassModel, ZeroShotClassificationPipeline
2 from transformers import AutoTokenizer
----> 4 model = GLiClassModel.from_pretrained("knowledgator/gliclass-small-v1.0")
5 tokenizer = AutoTokenizer.from_pretrained("knowledgator/gliclass-small-v1.0")
7 pipeline = ZeroShotClassificationPipeline(
8 model, tokenizer, classification_type='multi-label', device='cuda:0'
9 )
File ~/Proyectos SW/intent-classification/.venv/lib/python3.13/site-packages/transformers/modeling_utils.py:4072, in PreTrainedModel.from_pretrained(cls, pretrained_model_name_or_path, config, cache_dir, ignore_mismatched_sizes, force_download, local_files_only, token, revision, use_safetensors, weights_only, *model_args, **kwargs)
4069 config = copy.deepcopy(config) # We do not want to modify the config inplace in from_pretrained.
4070 with ContextManagers(model_init_context):
4071 # Let's make sure we don't run the init function of buffer modules
-> 4072 model = cls(config, *model_args, **model_kwargs)
4074 if hf_quantizer is not None: # replace module with quantized modules (does not touch weights)
4075 hf_quantizer.preprocess_model(
4076 model=model,
4077 dtype=dtype,
(...) 4080 use_kernels=use_kernels,
4081 )
File ~/Proyectos SW/intent-classification/.venv/lib/python3.13/site-packages/gliclass/model.py:753, in GLiClassModel.__init__(self, config, from_pretrained)
751 super().__init__(config)
752 if config.architecture_type == 'uni-encoder':
--> 753 self.model = GLiClassUniEncoder(config, from_pretrained)
754 elif config.architecture_type == 'bi-encoder':
755 self.model = GLiClassBiEncoder(config, from_pretrained)
File ~/Proyectos SW/intent-classification/.venv/lib/python3.13/site-packages/gliclass/model.py:348, in GLiClassUniEncoder.__init__(self, config, from_pretrained)
347 def __init__(self, config: GLiClassModelConfig, from_pretrained = False):
--> 348 super().__init__(config)
349 if config.encoder_config is None:
350 if config.encoder_model_name is None:
File ~/Proyectos SW/intent-classification/.venv/lib/python3.13/site-packages/gliclass/model.py:121, in GLiClassBaseModel.__init__(self, config, device, **kwargs)
119 self.epsilon = 1e-8
120 self.vocab_size = config.vocab_size
--> 121 self.pad_token_id = self.config.pad_token_id if self.config.pad_token_id is not None else -1
122 self.num_labels = -1
124 self.device = torch.device(device)
File ~/Proyectos SW/intent-classification/.venv/lib/python3.13/site-packages/transformers/configuration_utils.py:164, in PreTrainedConfig.__getattribute__(self, key)
162 if key != "attribute_map" and key in super().__getattribute__("attribute_map"):
163 key = super().__getattribute__("attribute_map")[key]
--> 164 return super().__getattribute__(key)
AttributeError: 'GLiClassModelConfig' object has no attribute 'pad_token_id'
Does anybody knows why demo is not working?
I get same error when running "Usage examples" on Python 3.13 inside Jupyter notebook.
Error: AttributeError: 'GLiClassModelConfig' object has no attribute 'pad_token_id'
Example:
Full ouptut: