Thomas Buhrmann

openai's CLIP model not working with pytorch 1.12 in some environments

2

### System Info - `transformers` version: 4.20.1 - Platform: Linux-5.4.170+-x86_64-with-glibc2.31 - Python version: 3.9.12 - Huggingface_hub version: 0.8.1 - PyTorch version (GPU?): 1.11.0+cu113 (True) - Tensorflow version (GPU?): 2.7.0 (False)...

See here: https://setuptools.readthedocs.io/en/latest/userguide/datafiles.html e.g. This also makes label-studio-transformers fail, as the first thing to do according to its README is ``` bash label-studio-ml init my-ml-backend --script models/bert_classifier.py ``` which fails...

Slow loading when the nlp object used is a StanfordNLPLanguage instance

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This is probably a rare case occurring only when adding a spacymoji step to the pipeline of a StanfordNLPLanguage instance. However, what happens is that the spacymoji constructor uses the...

Since this flume twitter source seems to be used as is by a lot of people (judging by how often I came across it in tutorials etc.), I thought it...

Heterogenous data types

1

Hi, in one of your papers it is mentioned that in principle CorEx works with heterogeneous data types, but it seems that the current implementation only works for all continuous...

Silent mis-handling of NaNs in input data

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Hi, you're probably not even maintaining this anymore, but in case you do, I've found that NaNs in the input data are not handled correctly, I think. In case you...

Create a conda package

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Hi, I'm trying to use CleverCSV as a dependency in one of my own conda packages. But for that to work the dependency (and dependencies of dependencies, see https://github.com/GjjvdBurg/wilderness/issues/15) need...

Hi, [here](https://docs.rapids.ai/api/cuml/stable/execution_device_interoperability/#Installation) it says 23.12 will support MacOS (on CPU), but neither the rapidsai nor rapidsai-nightly channels seem to have any macos packages (neither cuml nor cuml-cpu). Has this been...

Hi, this is not really an issue with kaolin, but I figure you must have run into this issue yourself. At the moment the official USD install instructions results in...

I was happy to see the get_feature_names_out API is already supported, but noticed that the implementation is not correct. The scikit-learn API for get_feature_names_out(...) accepts optional _input_ feature names, and...