Comments (1)
Zhihan1996
commented on May 31, 2024
Hey,
This looks like you are using the original BERT implement instead of DNABERT2 implementation of transformer, and this is where the error comes from? Do you directly use the provided codes or write code by yourself? Can you please first fix the transformers version by running pip install transformers==4.29?
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Related Issues (20)
- Triton version issue HOT 1
- "indexSelectLargeIndex: block: [313,0,0], thread: [32,0,0] Assertion `srcIndex < srcSelectDimSize` failed." after evaluation.
- token split issue HOT 1
- Wrong tokens at the end of the sequence
- Flash Attention 2
- Debug issue HOT 1
- While Doing Quick Start, I Encountered an AssertionError: HOT 2
- When will the pretraining code be available?
- .
- environment about torch version HOT 1
- problem stll in environment HOT 6
- hidden_states = model(inputs)[0] # [1, sequence_length, 768]-- Is the second dimension really the sequence length? HOT 1
- Discuss a question about k-mer HOT 1
- When will the code for pre-training model and training BPE tokenizer be available? HOT 1
- Quickstart Does not work and Embedding Dim is not 768 HOT 1
- Pretraining, Pretraining, Pretraining!!! HOT 2
- I always encounter this error during the fine-tuning evaluation phase HOT 1
- Fine-tune for continuous labels HOT 3
- How do I output the attention from the model? HOT 1
- Special token treatment. HOT 1
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