Kunal Sachdeva

Ok, I was able to get it working by setting **expand_keys** as true in the config. But the path looks like `sample_configuration/master/test.json/url`. Is there a way we can get rid...

> Hi @pg020196 yes I refer to the master branch of flair. It doesn't matter how you download the model, however you have to once load and save it again....

Hi @pg020196 , I am following below steps - 1. From machine with internet access - ``` from flair.models import SequenceTagger tagger = SequenceTagger.load("flair/ner-english-ontonotes-large") ``` 2. Then trying to save...

thanks @pg020196 ... getting this error now while saving the model.. ``` tagger.save('path/to/directory/tagger_model.pt') ~/anaconda3/envs/amazonei_pytorch_latest_p37/lib/python3.7/site-packages/flair/embeddings/base.py in _tokenizer_bytes(self) 344 files = list(self.tokenizer.save_pretrained(temp_dir)) 345 if self.tokenizer.is_fast: --> 346 vocab_files = self.tokenizer.slow_tokenizer_class.vocab_files_names.values() 347 files...

@pg020196 updating the flair version to 0.11 helped. Thanks a lot!

I am facing this similar issue while using Lime with Metaflow. `self.explainer = lime.lime_tabular.LimeTabularExplainer(X.values, feature_names=X.columns.tolist())` Wondering how could this be resolved. Any help would be appreciated. Thanks

can this be looked into, please?

> Until sagemaker-python-sdk is officially supported in AWS Lambda, here's a workaround that removes a bit of bloat from the installation, allowing it to fit in lambda without sacrificing any...

Got it.. thank you for your quick response!

@yoavz