albert_lstm_crf_ner | albert lstm | Data Labeling library
kandi X-RAY | albert_lstm_crf_ner Summary
kandi X-RAY | albert_lstm_crf_ner Summary
albert + lstm + crf实体识别，pytorch实现。识别的主要实体是人名、地名、机构名和时间。
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Top functions reviewed by kandi - BETA
- Train the optimizer
- Train the model
- Predict a given string
- Seed everything
- Evaluate the model
- Performs a single step
- Check shape
- Reshape a shape
- Create features from examples
- Truncate a sequence pair
- Prune the given heads
- Convert tf checkpoint to PyTorch model
- Saves a model to disk
- Create a GPU device model
- Set random seed
- Save the vocab to a file
- Load a model
- Restore checkpoint from a checkpoint
- Create input examples from text
- Compute the attention matrix
- Convert the given example to features
- Tokenize text
- Evaluate the given model
- Creates training instances
- Reads corpus
- Read corpus
- Run bertep step
albert_lstm_crf_ner Key Features
albert_lstm_crf_ner Examples and Code Snippets
Community Discussions
Trending Discussions on Data Labeling
QUESTION
I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.
What I've done so far is make this representation with the same enumerator class.
A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?
...ANSWER
Answered 2021-Dec-30 at 13:57Instead of using Enum you can use a dict mapping. You can avoid loops if you flatten your dataframe:
QUESTION
I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.
In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space
i have this:
...ANSWER
Answered 2020-Nov-16 at 07:24Try something like:
QUESTION
Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.
Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.
Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.
...ANSWER
Answered 2020-Oct-27 at 22:39Is the data behind virtual network by any chance?
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install albert_lstm_crf_ner
You can use albert_lstm_crf_ner like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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