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### Add Link
https://pytorch.org/tutorials/beginner/text_sentiment_ngrams_tutorial.html
### Describe the bug
Running the text classification tutorial line by line results in the following:
/pyt…
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Thanks for the awesome library. I am trying to use this library for text classification. I am wondering what sort of modifications need to be made to this library in order to perform text classificati…
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and fou…
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```from fastfit import FastFit
model = FastFit.from_pretrained("fast-fit")
model
```
gives
```
FastFit(
(encoder): MPNetModel(
(embeddings): MPNetEmbeddings(
(word_embedding…
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May I ask whether you have deleted the task of image text relation classification in the original RpBERT code?
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### Have I written custom code (as opposed to using a stock example script provided in MediaPipe)
No
### OS Platform and Distribution
Android 10 API 29
### Mobile device if the issue happens on mo…
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### 软件环境
```Markdown
- paddlepaddle:2.5.2
- paddlepaddle-gpu: 2.5.2.post117
- paddlenlp: 2.7.2
```
### 重复问题
- [X] I have searched the existing issues
### 错误描述
```Markdown
>>> cls(["房间干净明亮,非常不错…
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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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File "/env/lib/conda/rohan-retrieval/lib/python3.10/site-packages/eland/ml/pytorch/transformers.py", line 665, in __init__
self._traceable_model = self._create_traceable_model()
File "/env/l…
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- [x] sentiment
- [ ] type (genre, computer vision, etc.)