Tokenize | All-in-one text tokenizer for Go | Parser library
kandi X-RAY | Tokenize Summary
kandi X-RAY | Tokenize Summary
This Tokenize package contains three functions that are extremely fast and efficient at tokenizing text. No regular expressions are used. The whole thing requires only two loops of the data, the first for UTF8 normalization and accent removal, the second for everything else. ##Warning The same underlying array is used for each token, this means you must copy the slice of bytes sent to the wordfn function if you intend to save the slices. Please see my Unleak package for an easy one-liner implementation of this. If you are counting the token occurances with my BinSearch package, with the native map implementation, or you are converting the slice of bytes to a string then it is not necessary to copy the slice since these implementations make their own copies.
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Top functions reviewed by kandi - BETA
- Paginate works the same as p_page except that it takes a marker as the marker function .
- AllInOne iterates over the given byte slice and applies the function to each word .
- WithProvidedBuffer adds the provided buffer to the given buffer .
Tokenize Key Features
Tokenize Examples and Code Snippets
Community Discussions
Trending Discussions on Tokenize
QUESTION
I am not sure how to extract multiple pages from a search result using Pythons Wikipedia plugin. Some advice would be appreciated.
My code so far:
...ANSWER
Answered 2021-Jun-15 at 13:10You have done the hard part, the results are already in the results
variable.
But the results need parsing by the wiki.page()
nethod, which only takes one argument.
The solution? Use a loop to parse all results one by one.
The easiest way will be using for loops, but the list comprehension method is the best.
Replace the last two lines with the following:
QUESTION
I am trying to install all needed modules for an existing Django project. When I run pip install -r requirements.txt
I get the following errors:
ANSWER
Answered 2021-Jan-26 at 13:05Inside your requirements.txt change scipy line with this scipy==1.6.0 and save. Now retry pip installation.
QUESTION
I am following this tutorial here: https://huggingface.co/transformers/training.html - though, I am coming across an error, and I think the tutorial is missing an import, but i do not know which.
These are my current imports:
...ANSWER
Answered 2021-Jun-14 at 15:08The error states that you do not have a variable called sentences
in the scope. I believe the tutorial presumes you already have a list of sentences and are tokenizing it.
Have a look at the documentation The first argument can be either a string or list of string or list of list of strings.
QUESTION
i have a dataframe with the columns title and tokenized words. Now I read in all tokenized words into a list called vcabulary looking like this:
[['hello', 'my', 'friend'], ['jim', 'is', 'cool'], ['peter', 'is', 'nice']]
now I want to go through this list of lists and count every word for every list.
...ANSWER
Answered 2021-Jun-13 at 15:32Convert your 2D list, into a normal list, then use collections.Counter()
to return a dictionary of each words occurrence count.
QUESTION
I have a scenario in which if my endpoint1 is down, all messages should be routed to endpoint2 or vice versa. In case both are up then messages should be sent in round robin fashion. Can someone please give some idea how to handle this scenario.
...ANSWER
Answered 2021-Jun-13 at 14:46// use load balancer with failover strategy
// 1 = which will try 1 failover attempt before exhausting
// false = do not use Camel error handling
// true = use round robin mode
.loadBalance().failover(1, false, true)
.to("direct:kafkaPosting1").to("direct:kafkaPosting2");
QUESTION
I want to force the Huggingface transformer (BERT) to make use of CUDA.
nvidia-smi showed that all my CPU cores were maxed out during the code execution, but my GPU was at 0% utilization. Unfortunately, I'm new to the Hugginface library as well as PyTorch and don't know where to place the CUDA attributes device = cuda:0
or .to(cuda:0)
.
The code below is basically a customized part from german sentiment BERT working example
...ANSWER
Answered 2021-Jun-12 at 16:19You can make the entire class inherit torch.nn.Module
like so:
QUESTION
I have a custom tokenizer and want to use it for prediction in Production API. How do I save/download the tokenizer?
This is my code trying to save it:
...ANSWER
Answered 2021-Jun-12 at 09:28Here is the situation, using a simple file to disentangle the issue from irrelevant specificities like pickle, Tensorflow, and tokenizers:
QUESTION
ANSWER
Answered 2021-Jun-12 at 06:42The SpaCy tokenizer seems to cache each token in a map internally. Consequently, each new token increases the size of that map. Over time, more and more new tokens inevitably occur (although with decreasing speed, following Zipf's law). At some point, after having processed large numbers of texts, the token map will thus outgrow the available memory. With a large amount of available memory, of course this can be delayed for a very long time.
The solution I have chosen is to store the SpaCy model in a TTLCache and to reload it every hour, emptying the token map. This adds some extra computational cost for reloading the SpaCy model from, but that is almost negligible.
QUESTION
I have a folder that contains a group of files, and each file contains a text string, periods, and commas. I want to replace the periods and commas with spaces and print all the files afterwards.
I used Replace, but this error appeared to me:
...ANSWER
Answered 2021-Jun-11 at 10:28It seems you are trying to use the string function "replace" on a list. If your intention is to use it on all of the list's members, you can do it like so:
QUESTION
The following link shows how to add custom entity rule where the entities span more than one token. The code to do that is below:
...ANSWER
Answered 2021-Jun-09 at 17:49You need to define your own method to instantiate the entity ruler:
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