lavis-nlp jerex issues - Githubissues

lavis-nlp / jerex

PyTorch code for JEREX: Joint Entity-Level Relation Extractor

MIT License

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DocRED dataset

#18 orilian closed 1 year ago
3
Multi-GPU training

#17 AvivSham closed 2 years ago
1
rel_f1_micro performance

#16 zozni opened 2 years ago
0
Relation Extraction metric

#15 LittlePea13 opened 2 years ago
0
MisconfigurationException: `train_dataloader` must be implemented to be used with the Lightning Trainer

#14 famube opened 2 years ago
0
Errors when performing tests

#13 zozni closed 2 years ago
3
train problem

#12 niningliuhen2013 closed 2 years ago
7
verbose message to increase size_embeddings_count

#11 e3oroush opened 2 years ago
2
performance metrics is zero

#10 injala-kumar closed 2 years ago
3
Train Help

#9 kbrajwani closed 3 years ago
4
Help ! Annotation tool

#8 kbrajwani closed 3 years ago
1
What's the best way to use the joint model to infer entities, and relations among them, in a fresh new phrase?

#7 raphael10-collab closed 3 years ago
7
What's the relation, if there is any relation, between Jerex Model and Spert Model ?

#6 raphael10-collab closed 3 years ago
1
Help in interpreting the test results

#5 raphael10-collab closed 3 years ago
2
Question regarding "long" documents

#4 pvcastro closed 3 years ago
2
RuntimeError: [enforce fail at CPUAllocator.cpp:67] . DefaultCPUAllocator: can't allocate memory: you tried to allocate 42472464384 bytes. Error code 12 (Cannot allocate memory)

#3 raphael10-collab closed 3 years ago
2
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference

#2 raphael10-collab closed 3 years ago
4
source code

#1 LemonQC closed 3 years ago
4