Comments (7)
You can see for example how we do that in FinetuningModelGenerator.
from protein_bert.
hi,And if it’s feature extraction, what am I supposed to do?
from protein_bert.
I don't understand your question. Could you clarify?
from protein_bert.
I don't understand your question. Could you clarify?
I want to put the fine-tuned get_model_with_hidden_layers_as_outputs output out separately, I don't know what to do
from protein_bert.
Sorry, I don't understand your question. To help you, I will need more context/details and a clearer description of what you are trying to do.
from protein_bert.
Thank you so much for helping me .
I want to do a sequence analysis.And I want to take the input vector for the Softmax layer ,which is the output of Local and Global respresentations.and use it as my feature extraction to feed it into my own framework.
from protein_bert.
You can see how to extract ProteinBERT's representations here.
from protein_bert.
Related Issues (20)
- Failing to get the weights from the dedicated github repo HOT 5
- Use ProteinBERT with Own Dataset HOT 3
- Original h5 file HOT 5
- loss plot during pretraining HOT 1
- signal peptide detection HOT 1
- KeyError: "Unable to open object (object 'test_set_mask' doesn't exist)" HOT 6
- How to extract the embedding of an amino acid? HOT 10
- Graph execution error HOT 6
- Extract local and global representation using finetune model HOT 1
- Running Benchmarks HOT 4
- Evaluation on larger data set HOT 6
- Using vector representations in the "weights" parameter in the "embedding" section of an LSTM model after fine-tuning my own data HOT 1
- Failing to extract global embedding (1,15599) -> (1,512) HOT 1
- What do the settings mean? HOT 3
- Error when trying to run the finetuning code given in the jupyter notebook HOT 2
- ValueError, set_weights error
- model_generation.py list is not callable error HOT 2
- GO annotations during fine tuning HOT 1
- Missing MajorPTMs train CSV file HOT 1
- Can't get proteinBERT to run on GPU HOT 1
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