Comments (2)
JonasGeiping
commented on August 29, 2024
Declaring it as AutoModelForTokenClassification should work. What's the error?
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kisacats
commented on August 29, 2024
Declaring it as
AutoModelForTokenClassificationshould work. What's the error?
When declared it as AutoModelForTokenClassification it throws AttributeError: 'ScriptableLMForTokenClassification' object has no attribute 'num_labels'. After setting num_labels as two manually, the error becomes RuntimeError: mat1 and mat2 shapes cannot be multiplied (512x768 and 1024x1)
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Related Issues (20)
- Pretraining on a single RTX 3060 HOT 2
- Errors with both the verify installation command as well as the final recipe HOT 2
- GLUE evaluation numbers are very poor, if increase the sequence length to 512 and float 32 HOT 5
- Evaluation failed on MNLI and STSB Datasets for Last1.13release HOT 3
- I run the test command,got this error,how to fix it?looks like no dataset HOT 12
- Tutorial for pretrain RoBERTa with custom data HOT 2
- Issue with torch.compile / dynamo HOT 5
- Question about sparse token prediction HOT 1
- Uploading trained model to HF/saving in HF format locally HOT 8
- try it on Mac M1 but failed HOT 2
- can't import cramming HOT 2
- TypeError: _load_optimizer() missing 1 required positional argument: 'initial_time' HOT 1
- torch._dynamo error on step 2: calling compiler function 'inductor' HOT 7
- Finetuning for token classification HOT 3
- Configs for GPT? HOT 2
- From PR 43 HOT 5
- Unable to replicate the results using the default command HOT 15
- How to load local data HOT 2
- Flash Attention HOT 1
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