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It seems that transformers returns the following issue if transformers version is incompatible with tensorflow or pytorch. Try to downgrade transformers to 3.1.0 if you encounter this error (pip install transformers==3.1.0).
RuntimeError Traceback (most recent call last)
/var/folders/jj/0bctc_l95rs6_k0g9qqhb4w40000gn/T/ipykernel_18520/4005870990.py in
1 from transformers import pipeline
----> 2 nlp = pipeline("sentiment-analysis")
3 result = nlp("I hate you")[0]
4 print(f"label: {result['label']}, with score: {round(result['score'], 4)}")
5 result = nlp("I love you")[0]
~/opt/anaconda3/envs/content/lib/python3.7/site-packages/transformers/pipelines/base.py in infer_framework_load_model(model, config, model_classes, task, framework, **model_kwargs)
177 if not is_tf_available() and not is_torch_available():
178 raise RuntimeError(
--> 179 "At least one of TensorFlow 2.0 or PyTorch should be installed. "
180 "To install TensorFlow 2.0, read the instructions at https://www.tensorflow.org/install/ "
181 "To install PyTorch, read the instructions at https://pytorch.org/."
RuntimeError: At least one of TensorFlow 2.0 or PyTorch should be installed. To install TensorFlow 2.0, read the instructions at https://www.tensorflow.org/install/ To install PyTorch, read the instructions at https://pytorch.org/.
The text was updated successfully, but these errors were encountered:
Hi all,
It seems that
transformers
returns the following issue iftransformers
version is incompatible withtensorflow
orpytorch
. Try to downgradetransformers
to 3.1.0 if you encounter this error (pip install transformers==3.1.0
).RuntimeError Traceback (most recent call last)
/var/folders/jj/0bctc_l95rs6_k0g9qqhb4w40000gn/T/ipykernel_18520/4005870990.py in
1 from transformers import pipeline
----> 2 nlp = pipeline("sentiment-analysis")
3 result = nlp("I hate you")[0]
4 print(f"label: {result['label']}, with score: {round(result['score'], 4)}")
5 result = nlp("I love you")[0]
~/opt/anaconda3/envs/content/lib/python3.7/site-packages/transformers/pipelines/init.py in pipeline(task, model, config, tokenizer, feature_extractor, framework, revision, use_fast, use_auth_token, model_kwargs, pipeline_class, **kwargs)
546 revision=revision,
547 task=task,
--> 548 **model_kwargs,
549 )
550
~/opt/anaconda3/envs/content/lib/python3.7/site-packages/transformers/pipelines/base.py in infer_framework_load_model(model, config, model_classes, task, framework, **model_kwargs)
177 if not is_tf_available() and not is_torch_available():
178 raise RuntimeError(
--> 179 "At least one of TensorFlow 2.0 or PyTorch should be installed. "
180 "To install TensorFlow 2.0, read the instructions at https://www.tensorflow.org/install/ "
181 "To install PyTorch, read the instructions at https://pytorch.org/."
RuntimeError: At least one of TensorFlow 2.0 or PyTorch should be installed. To install TensorFlow 2.0, read the instructions at https://www.tensorflow.org/install/ To install PyTorch, read the instructions at https://pytorch.org/.
The text was updated successfully, but these errors were encountered: