Comments (1)
Hi,
Thank you very much for identifying this! This actually depends on the naming of layers in each model. The best way is to load and print model layer names before setting this parameter. Will update the README soon to explains more on this. Thanks!
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Related Issues (20)
- 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
- splice site predictions
- Unable to Retrieve ' hidden_states ' Despite ' Setting return_dict=True ' and ' output_hidden_states=True ' HOT 3
- Cannot Reproduce DNA-BERT2‘s Result HOT 1
- GUE+ datasets? HOT 2
- Is it neccessary to train a specific BPE tokenizer on own datasets? HOT 1
- Getting embedding of a sequence HOT 2
- CUDA out of memory HOT 5
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