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The following code triggered pyo3_runtime.PanicException: AddedVocabulary bad split
```
from transformers import pipeline
classifier = pipeline("token-classification", model="ckiplab/bert-base-ha…
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### Prerequisites
- [X] I have read the [documentation](https://hf.co/docs/autotrain).
- [X] I have checked other issues for similar problems.
### Backend
Colab
### Interface Used
UI
### CLI Com…
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Because we don't have a reliable Cantonese tokenizer, all the phrases added to the classifier need to satisfy the following property, in addition to not being shared by Mandarin:
**Frequency of the p…
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### Describe the bug
I’ve created a scoped group for the project in azdevops and can assign-unassign permissions at the project level without any problems.
I want to block repository creation and …
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Hi, I want to adapt muti-token iPET to a multi-classification task. However, all examples in the paper are binary classification. I am wondering can iPET be trained for multi-classification tasks?
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```
An ActionController::ParameterMissing occurred in classifications#create:
param is missing or the value is empty: classification
app/controllers/concerns/classifiable.rb:50:in `classification…
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## Information
The problem arises in chapter:
* [ ] Introduction
* [ ] Text Classification
* [ ] Transformer Anatomy
* [ ] Multilingual Named Entity Recognition
* [ ] Text Generation
* [ ] …
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**Package** lib-classifier
**Feature or Issue Description**
We need to deal with POSTs that were stored in the classification worker queue that may now have an invalid bearer token. Similar issu…
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As a Python user I want to:
- Read the rules from a Token Classification dataset
- Apply the rules to the dataset (i.e., generating a weak label matrix)
- Aggregate/denoise the resulting weak labels
…
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Label error detection for Span Classification tasks, eg. Question-Answering or Named Entity Recognition can be framed as such a task. Should be straightforward extension of our existing token-classifi…