Transformers trying to use keras?
Hello,I am trying to setup a very simple example:from transformers import pipelinegenerator = pipeline(‘text-generation’, model=‘gpt2’)But it seems transformers is automatically trying to use keras instead of pytorch. This seems to be happening with any model I use, not just gpt2. Its also happening only with pipeline, the rest of examples I can run just fine.Is this the expected behaviour?if so, is it possible to switch it to pytorch?Error I get:ModuleNotFoundError                       Traceback (most recent call last)File c:\Users\LKP\anaconda3\envs\hugg\lib\site-packages\transformers\utils\import_utils.py:1082, in _LazyModule._get_module(self, module_name)1081 try:→ 1082     return importlib.import_module(“.” + module_name, self.name)1083 except Exception as e:File c:\Users\LKP\anaconda3\envs\hugg\lib\importlib_init_.py:127, in import_module(name, package)126         level += 1→ 127 return _bootstrap._gcd_import(name[level:], package, level)File :1014, in _gcd_import(name, package, level)File :991, infind_and_load(name, import)File :975, infind_and_load_unlocked(name, import)File :671, in _load_unlocked(spec)File :843, in exec_module(self, module)File :219, in _call_with_frames_removed(f, *args, **kwds)File c:\Users\LKP\anaconda3\envs\hugg\lib\site-packages\transformers\models\gpt2\modeling_tf_gpt2.py:2624 import tensorflow as tf—> 26 from …activations_tf import get_tf_activation27 from …modeling_tf_outputs import (28     TFBaseModelOutputWithPastAndCrossAttentions,29     TFCausalLMOutputWithCrossAttentions,30     TFSequenceClassifierOutputWithPast,31 )File c:\Users\LKP\anaconda3\envs\hugg\lib\site-packages\transformers\activations_tf.py:107105     return tf.keras.activations.gelu(x, approximate=True)→ 107 gelu = tf.keras.activations.gelu108 gelu_new = approximate_gelu_wrapFile ~\AppData\Roaming\Python\Python38\site-packages\tensorflow\python\util\lazy_loader.py:58, in LazyLoader.getattr(self, item)57 defgetattr(self, item):—> 58   module = self._load()59   return getattr(module, item)File ~\AppData\Roaming\Python\Python38\site-packages\tensorflow\python\util\lazy_loader.py:41, in LazyLoader._load(self)40 # Import the target module and insert it into the parent’s namespace—> 41 module = importlib.import_module(self.name)42 self._parent_module_globals[self._local_name] = moduleFile c:\Users\LKP\anaconda3\envs\hugg\lib\importlib_init_.py:127, in import_module(name, package)126         level += 1→ 127 return _bootstrap._gcd_import(name[level:], package, level)ModuleNotFoundError: No module named ‘keras’The above exception was the direct cause of the following exception:RuntimeError                              Traceback (most recent call last)Cell In[2], line 85 from transformers import pipeline6#fromtransformers import pipeline, set_seed----> 8 generator = pipeline(‘text-generation’, model=‘gpt2’)File c:\Users\LKP\anaconda3\envs\hugg\lib\site-packages\transformers\pipelines_init_.py:788, in pipeline(task, model, config, tokenizer, feature_extractor, image_processor, framework, revision, use_fast, use_auth_token, device, device_map, torch_dtype, trust_remote_code, model_kwargs, pipeline_class, **kwargs)786 if isinstance(model, str) or framework is None:787     model_classes = {“tf”: targeted_task[“tf”], “pt”: targeted_task[“pt”]}→ 788     framework, model = infer_framework_load_model(789         model,790         model_classes=model_classes,791         config=config,792         framework=framework,793         task=task,794         **hub_kwargs,795         **model_kwargs,796     )798 model_config = model.config799 hub_kwargs[“_commit_hash”] = model.config._commit_hashFile c:\Users\LKP\anaconda3\envs\hugg\lib\site-packages\transformers\pipelines\base.py:245, in infer_framework_load_model(model, config, model_classes, task, framework, **model_kwargs)243         classes.append(_class)244 if look_tf:→ 245     _class = getattr(transformers_module, f"TF{architecture}", None)246     if _class is not None:247         classes.append(_class)File c:\Users\LKP\anaconda3\envs\hugg\lib\site-packages\transformers\utils\import_utils.py:1073, in _LazyModule.getattr(self, name)1071 elif name in self._class_to_module.keys():1072     module = self._get_module(self._class_to_module[name])→ 1073     value = getattr(module, name)1074 else:1075     raise AttributeError(f"module {self.name} has no attribute {name}")File c:\Users\LKP\anaconda3\envs\hugg\lib\site-packages\transformers\utils\import_utils.py:1072, in _LazyModule.getattr(self, name)1070     value = self._get_module(name)1071 elif name in self._class_to_module.keys():→ 1072     module = self._get_module(self._class_to_module[name])1073     value = getattr(module, name)1074 else:File c:\Users\LKP\anaconda3\envs\hugg\lib\site-packages\transformers\utils\import_utils.py:1084, in _LazyModule._get_module(self, module_name)1082     return importlib.import_module(“.” + module_name, self.name)1083 except Exception as e:→ 1084     raise RuntimeError(1085         f"Failed to import {self.name}.{module_name} because of the following error (look up to see its"1086         f" traceback):\n{e}"1087     ) from eRuntimeError: Failed to import transformers.models.gpt2.modeling_tf_gpt2 because of the following error (look up to see its traceback):No module named ‘keras’