Comments (3)
I didn't get that. Can you elaborate on your questions with more details?
from pyabsa.
Oh, sorry about that.
I meant whether you could share the information about the pretrained models.
E.g., Precision, recall, and F1 scores for the tasks (e.g., ASQP, ASTE).
from pyabsa.
There is no such information, because this project is in a low-active stage.
from pyabsa.
Related Issues (20)
- The example code: Aspect_Term_Extraction.ipynb in the subfolder of aspect_term_extraction in examples-v2 is not working HOT 4
- PyABSA for German language? HOT 1
- 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
- how to train my own model? HOT 1
- Different performance between model saved as fine-tuned PLM and state_dict HOT 3
- Option for custom categories and custom rating
- Inference Speed HOT 1
- Import Error when using on Google Colab HOT 1
- During training: warnings for ATE Classification Report HOT 2
- When training from saved checkpoint: `RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!` HOT 1
- How to rewrite the Custom Dataset? HOT 1
- AttributeError: 'ATEPCConfigManager' object has no attribute 'hidden_dim' HOT 8
- How to Determine the Dataset Used for Pretrained Models from Checkpoints? HOT 5
- Seeking Guidance for Simple yet effective approch for ABSA for my FYP
- A faster generator.predict(comment)
- ASTE: list index out of range
- PyABSA Version 2 not working- RuntimeError: Exception: expected str, bytes or os.PathLike object, not NoneType Fail to load the model from multilingual!
- How can I display ASTE accuracy, precision and recall while training the model?
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from pyabsa.