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all mini:
```
{
"sha256": "178d15cd14cfa17b445cdb3f98815f6875be34c84f0cd2997cf51455abc7680d",
"model_type": "sentence_transformers",
"model_name": "all-MiniLM-L6-v2",
"id": "9edf2ea6-cac0-466…
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I've constructed a multilabel structure working with the DialogueGCN model. I've also tried connecting different encoders like DistilBERT and TinyBERT to the first layer of the model. Additionally, I …
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### Elasticsearch Version
8.9
### Installed Plugins
_No response_
### Java Version
_bundled_
### OS Version
cloud
### Problem Description
Hello team, we are trying to run th…
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**Describe the bug**
I tried the code in Tutorial: Fine-tuning a model on your own data. Running the code for distillation, I encountered an error on this line: student.distil_prediction_layer_from(t…
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When running ```python src/models/GLEM/trainGLEM.py```, there is an error.
```
Running command:
CUDA_VISIBLE_DEVICES=0 /home/public207/miniconda/envs/ct/bin/torchrun --master_port=52105 --nproc_p…
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Is there any implementation of Knowledge Distillation in Fairseq?
I need to distilled a large multilingual Transformer model and I am not finding any suitable implementation for it here.
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### 问题描述
Hi, In **PaddleNLP**, inappropriate dependency versioning constraints can cause risks.
Below are the dependencies and version constraints that the project is using
```
jieba
colorlog
…