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### Feature request
When attempting to use this reranker model [mxbai-rerank-large-v1](https://huggingface.co/mixedbread-ai/mxbai-rerank-large-v1) from huggingface with TEI, I got the following error…
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### Feature request
This is a Bert based model however when trying to run, the message says model not supported. https://huggingface.co/meta-llama/Prompt-Guard-86M/tree/main
### Motivation
LLM-pow…
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Hi there!
I was playing around with your google colab and wanted to few-nerd on `encoder_id = "microsoft/deberta-v3-large"`
but when I reach the train part if fails with `RuntimeError: The size …
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Thanks for your great work and I really appreciate that the code is released! While I have some questions when I try to carry out the experiments with distillation:
1. How is the process actually c…
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posted by @@rcshubhadeep
Hi,
I am really lost in something which relates to exporting DeBERTa in ONNX. I have the following code -
```
tokenizer = AutoTokenizer.from_pretrained("microsoft/deb…
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Hi. Could you please also release the generator model for deberta-v3-base? This would be very useful!
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Hi,
model_name = 'microsoft/deberta-v3-large'
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModel.from_pretrained(model_name)
When I load the v3 model, it return a V2 mod…
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I am unable to reproduce the scores on paper Table 13 using your pre-trained "deberta-10k-rank_net" model. I use the `deberta-10k-rank_net` function, but the scores that I get are lower.
Moreove…
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any way to get support for XLM-RoBERTA, DeBERTA et similia models? (asking for those specific models mostly because they have 1+ B parameters versions, but could be extended to all BERT and encoder-on…