Comments (2)
aonotas
commented on July 20, 2024
I'm sorry for the late reply.
L.NStepBiLSTM can be fine-tuning only in Chainer v 3.0.0 or later.
I think v 2.00 can also fine-tuning.
# load model
serializers.load_hdf5(model_filename, net)
# re-train (fine-tuning)
Anyway, I will modify deep-crf to support Chainer v3.
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massongit
commented on July 20, 2024
Thank you for your reply.
I would like to think about the experimental method based on your advice.
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Related Issues (20)
- What is --dev_file option? HOT 1
- Fix typo in bi_lstm.py HOT 1
- Trained models HOT 1
- Simplify option of the predict command
- Enable combination of input data and prediction result HOT 2
- Chainer utils use deprecated methods
- Make stdin and stdout available for prediction HOT 2
- TypeError: coercing to Unicode: need string or buffer, list found HOT 4
- Supported tag format HOT 2
- TypeError: object of type 'int' has no len() HOT 15
- ValueError: need more than 1 value to unpack HOT 6
- ValueError: not enough values to unpack (expected 2, got 0) HOT 1
- What is the required packages with version ? HOT 3
- ValueError: Invalid input feature sizes HOT 4
- ValueError: need more than 0 values to unpack HOT 17
- Please add (back) an optional `deterministic` argument for CNN
- ModuleNotFoundError: No module named 'deepcrf'
- --dev HOT 2
- Will it support Python 3.x? HOT 5
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