Mayank Kumar Pathak

**Describe the bug** A clear and concise description of what the bug is. **To Reproduce** Steps to reproduce the behavior: 1. Go to '...' 2. Click on '....' 3. Scroll...

how to provide samples in answerability and waht is the output for that

2

**Describe the bug** A clear and concise description of what the bug is. **To Reproduce** Steps to reproduce the behavior: 1. Go to '...' 2. Click on '....' 3. Scroll...

**Describe the bug** A clear and concise description of what the bug is. **To Reproduce** Steps to reproduce the behavior: 1. Go to '...' 2. Click on '....' 3. Scroll...

"snips_intent_ner_to_tsv" : snips_intent_ner_to_tsv, NameError: name 'snips_intent_ner_to_tsv' is not defined

1

**Describe the bug** A clear and concise description of what the bug is. **To Reproduce** Steps to reproduce the behavior: 1. Go to '...' 2. Click on '....' 3. Scroll...

sentences = pipeline.predict([sample]) taking too long for predicting or decoding the text

custom training using pre trained weights watermark_rem_weights.h5

3

Traceback (most recent call last): File "train.py", line 303, in generator.load_weights("weights_org/watermark_rem_weights.h5") File "/home/ubuntu/.local/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py", line 250, in load_weights return super(Model, self).load_weights(filepath, by_name, skip_mismatch) File "/home/ubuntu/.local/lib/python3.6/site-packages/tensorflow/python/keras/engine/network.py", line 1266, in load_weights hdf5_format.load_weights_from_hdf5_group(f, self.layers)...

getting only 50% slot f1 accuracy in 1500 samples in slot first mode.