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### Feature request
I have been trying to optimize a mixtral model trained for text-classification, into its ONNX counterpart.
I have tried it using torch level extraction -
torch.onnx.e…
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### 软件环境
```Markdown
- paddlepaddle:2.6.1
- paddlenlp: 2.6.1
Windows平台。
```
### 重复问题
- [X] I have searched the existing issues
### 错误描述
```Markdown
paddlenlp 的 Taskflow使用 Taskflow("text_clas…
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Hello, can we use this model to detect the class of a given detected text, for example name, last name (NER)?
If yes, how the is data going to be or what modifcation should we add to the labels?
Cor…
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Is there any BGE model that can be used for multi-label text classification (predefined labels) by adding some dense layers for classification (similar to BERT base uncased) instead of Sentence BERT?
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# Unsupervised text classification with word embeddings - Max Halford
Addendum: since writing this article, I have discovered that the method I describe is a form of zero-shot learning. So I guess yo…
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### Question
Hey guys,
I have been trying to train a model for text classification then convert it to an onnx file for use in transformers js following this video
https://www.youtube.com/watch?…
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Hello,
many thanks for this great resource.
Could you advice a usage starter code of SciNCL for text classification with Transformers library? I wanted to train an encoder model for the text cla…
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Currently, transformers' [`FeaturesManager._TASKS_TO_AUTOMODELS`](https://github.com/huggingface/transformers/blob/6d80c92c77593dc674052b5a46431902e6adfe88/src/transformers/onnx/features.py#L103) to h…
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Currently, text is only being classified by sentiment and language, but there's quite a few other ways to classify text. I propose text should be classified by formality, controversialness (this can b…
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```from fastfit import FastFit
model = FastFit.from_pretrained("fast-fit")
model
```
gives
```
FastFit(
(encoder): MPNetModel(
(embeddings): MPNetEmbeddings(
(word_embedding…