Comments (3)
yangheng95
commented on June 3, 2024
The model saved as huggingface format is not intended as instant inference but further finetuing and the state_dict is the recommended save mode. If you want to run the model on pipeline, there is a model have been released at: https://huggingface.co/yangheng/deberta-v3-base-absa-v1.1
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zedavid
commented on June 3, 2024
I see. What is required to make that model available to be run with huggingface pipeline?
Also, is there a checkpoint for the huggingface model? I would like to replicate the results I get with the pipeline with PyABSA.
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yangheng95
commented on June 3, 2024
I am sorry for that, it is tricky to train models compatible with huggingface pipeline, and I have cleaned the original materials such as codes so I am afraid that I cannot provide detailed help for that.
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Related Issues (20)
- some bug in TUTORIALS of Aspect Term Extraction and Sentiment Classification HOT 1
- Attention mask not specified HOT 1
- 请问提取情感三元组是利用哪个算法实现的
- 请问情感三元组的提取是利用哪个算法实现的 HOT 1
- Max length in ASTE HOT 1
- Loading state_dict fails (model trained on linux and copied to windows) HOT 1
- RuntimeError: Error(s) in loading state_dict for APCEnsembler: HOT 1
- IndexError: Target 2 is out of bounds. HOT 3
- Aspect sentiment quadruple extraction
- 模型无法远程下载，如何从本地加载模型？ HOT 1
- 请问哪里可以设置integrated dataset path
- Fail to download checkpoints info from huggingface space, try to download from local HOT 1
- import AspectSentimentTripletExtraction in colab raise error HOT 4
- Fine-tuned ASTE model returns no triplets HOT 1
- The example code: Aspect_Term_Extraction.ipynb in the subfolder of aspect_term_extraction in examples-v2 is not working HOT 4
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- No module named 'pyabsa.functional' HOT 4
- AspectExtractor returns aspects only if pred_sentiments=True in `extract_aspect` method but I don't want sentiments HOT 3
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