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ultraleow
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cloud4bert

Text Classification
Transformers
PyTorch
English
bert
text-embeddings-inference
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@@ -9,7 +9,7 @@ metrics:
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  pipeline_tag: text-classification
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  ---
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- # DistilBERT base model (uncased)
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  This model is a specialised version of the [BERT base model](https://huggingface.co/ultraleow/cloud4bert). The code for the training process will be uploaded
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  [here](https://huggingface.co/ultraleow/cloud4bert/). This model is uncased: it does not make a difference between english and English.
@@ -103,9 +103,3 @@ Glue test results:
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  | Task | Recall(Weighted) | Precision(Weighted) | f1(Weighted) | ACC |
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  |:----:|:----:|:----:|:----:|:-----:|
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  | | 94.03% | 94.06% | 94.02% | 94.03% |
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- <a href="https://huggingface.co/exbert/?model=distilbert-base-uncased">
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- <img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
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- </a>
 
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  pipeline_tag: text-classification
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  ---
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+ # Cloud4bert
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  This model is a specialised version of the [BERT base model](https://huggingface.co/ultraleow/cloud4bert). The code for the training process will be uploaded
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  [here](https://huggingface.co/ultraleow/cloud4bert/). This model is uncased: it does not make a difference between english and English.
 
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  | Task | Recall(Weighted) | Precision(Weighted) | f1(Weighted) | ACC |
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  |:----:|:----:|:----:|:----:|:-----:|
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  | | 94.03% | 94.06% | 94.02% | 94.03% |