kandi X-RAY | thinc Summary
kandi X-RAY | thinc Summary
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
Top functions reviewed by kandi - BETA
- Generates an iterator over the given sequences
- Convert data to a numpy array
- Get a batch from a sequence
- Convert the data into a contig
- Forward computation
- Concatenate op
- Allocates a given shape
- Creates model with signpost
- Replace callbacks
- Chain two layers
- Forward V2
- Setup thinc package
- Flatten an array of Xd
- Advance Adam algorithm
- Finish the optimizer
- Creates a semi - squares model
- Convert the input tensors to kwargs
- Load model from bytes
- Backpropagates x yd
- Create a new model with the specified range
- Validate a function on a forward input
- Resize a linear weighted layer
- Convert pytorch s default inputs
- Convert inputs
- Perform optimizer
- Convert default inputs
thinc Key Features
thinc Examples and Code Snippets
python -m spacy download de_trf_bertbasecased_lg python bert_finetuner_splitset.py de_trf_bertbasecased_lg -o finetuning\output python -m spacy package finetuning/output /packaged_model cd /packaged_model/de_trf_bertbasecased_lg-1.0.0 python setup.
from lsuv_init import LSUVinit ... batch_size = 32 model = LSUVinit(model, train_imgs[:batch_size,:,:,:])
from LSUV import LSUVinit ... model = LSUVinit(model,data)
Trending Discussions on thinc
i'm using spacy in conjunction with flask and anaconda to create a simple webservice. Everything worked fine, until today when i tried to run my code. I got this error and i don't understand what the problem really is. I think this problem has more to do with spacy than flask.
Here's the code:...
ANSWERAnswered 2022-Mar-21 at 12:16
What you are getting is an internal error from
spaCy. You use the
en_core_web_trf model provided by
spaCy. It's not even a third-party model. It seems to be completely internal to
You could try upgrading
spaCy to the latest version.
The registry name
scorers appears to be valid (at least as of
spaCy v3.0). See this table: https://spacy.io/api/top-level#section-registry
The page describing the model you use: https://spacy.io/models/en#en_core_web_trf
spacy.load() function documentation: https://spacy.io/api/top-level#spacy.load
I downloaded a
requirements.txt file from a GitHub repository, but it appears to be little different than the normal format of
- Can you tell me how the author generated this kind of
requirements.txtfile? Which tools did they use?
- How can I use this particular file format to instantiate the Python environment? I have tried executing the commands
conda install --file requirements.txtand
pip install -r requirements.txton a Windows ‘ machine, but to no avail.
ANSWERAnswered 2021-Oct-17 at 01:46
This looks like a conda
environment.yml file. It can be used to create a conda environment, like so
I tried looking for a similar problem but I can't find an answer and the error does not help much. I'm kinda frustrated at this point. Thanks for the help. I'm calculating the closest distance from a point....
ANSWERAnswered 2021-Oct-11 at 14:21
- have noted that your data is on kaggle, so start by sourcing it
- there really is only one issue
shapely.geometry.MultiPoint()constructor does not work with a filtered series. Pass it a numpy array instead and it works.
- full code below, have randomly selected a point to serve as
I am working on a project and have shifted my environment from local windows to a linux server (via SSH). I only have limited access as the host server is from my college, I've installed many packages without issues (both with and without virtualenv). I'm working on Python 3.6.9.
I was able to install spacy and import it but I need to use the en_core_web_sm package which has to be installed additionally using the command
python3 -m spacy download en_core_web_sm. However, I consistently face a PermissionError as seen in the logs below.
Why am I facing this error? Is it because I don't have administrator access on the /usr level (refer to last line of logs)? If yes, how come only this package in particular requires a higher level access? If no, are there any workaround for me to install the package, or do I need to contact the server administrator?...
ANSWERAnswered 2021-Aug-25 at 08:45
It seems all other packages are installed under your user
/home/jiayi/.local/python3.6/lib and this one tries to install itself globally in
/usr/local/lib/python3.6/, not sure why. I guess you can give it installation folder or something.
Look here Where does spacy language model download?
I am having a hard time figuring out how to assemble spacy pipelines bit by bit from built in models in spacy V3. I have downloaded the
en_core_web_sm model and can load it with
nlp = spacy.load("en_core_web_sm"). Processing of sample text works just fine like this.
Now what I want though is to build an English pipeline from blank and add components bit by bit. I do NOT want to load the entire
en_core_web_sm pipeline and exclude components. For the sake of concreteness let's say I only want the spacy default
tagger in the pipeline. The documentation suggests to me that
ANSWERAnswered 2021-Aug-02 at 14:09
nlp.add_pipe("tagger") adds a new blank/uninitialized tagger, not the tagger from
en_core_web_sm or any other pretrained pipeline. If you add the tagger this way, you need to initialize and train it before you can use it.
You can add a component from an existing pipeline using the
i'm following this tutorial https://towardsdatascience.com/how-to-fine-tune-bert-transformer-with-spacy-3-6a90bfe57647 and in the part where i have to use this command...
ANSWERAnswered 2021-May-28 at 10:10
Sorry you ran into that, we've had one report of that error before. It seems like something is weird with cupy on colab specifically. Based on the previous report, you should start with a clean Python environment and should not install cupy directly. I think colab uses a special version or something.
I have searched and searched. I was able to find this git repository that puts a thinc model as a relationship extractor pipeline in spacy. I need to add my NER model which is implemented using Tensorflow as a Spacy pipeline and I don't know what is the difference between adding a custom model implemented using thinc and with TensorFlow?...
ANSWERAnswered 2021-May-05 at 08:52
Just to clarify: the repository you linked does not showcase a Pytorch model for relation extraction in spaCy - in fact it uses the ML library Thinc to implement the model. You can find more details on that in the corresponding video tutorial.
The key point to remember is that spaCy works with Thinc models under the hood, but Thinc provides wrappers for Pytorch and Tensorflow.
To use those in spaCy, you can follow the documentation here. In a nutshell, you should be able to do something like this:
After updating to spaCy 3.0.6 I haven't been able to load in either of the trained pipelines, although both seem to be properly installed:...
ANSWERAnswered 2021-May-11 at 11:57
It looks like this is fixed in newer versions of
transformers (https://github.com/huggingface/transformers/pull/8979). Try upgrading both
I'm using Pyinstaller to pack my python spacy code. I'm using the de_core_news_sm and installed it via pip.
The normal script performs as expected but as soon as it is packaged with pyinstaller it can not find the model
[E050] Can't find model 'de_core_news_sm'. It doesn't seem to be a Python package or a valid path to a data directory.
i got for each hook a file:
ANSWERAnswered 2021-May-10 at 15:41
Adding this to my runtime scripts solve the problem. Instead of loading it as a module i'm loading my model from the path
I am using PyInstaller package a python script into an .exe. This script is using spacy to load up the following model:
en_core_web_sm. I have already run
python -m spacy download en_core_web_sm to download the model locally. The issue is when PyInstaller tries to package up my script it can't find the model. I get the following error:
Can't find model 'en_core_web_sm'. It doesn't seem to be a Python package or a valid path to a data directory. I thought maybe this meant that I needed to run the download command in my python script in order to make sure it has the model, but if I have my script download the model it just says the requirements are already satisfied. I also have a hook file that handles bringing in hidden imports and is supposed to bring in the model as well:
ANSWERAnswered 2021-Mar-08 at 00:59
When you use PyInstaller to collect data files into the bundle as you are doing here, the files are actually compiled into the resulting exe itself. This is transparently handled for Python code by PyInstaller when import statements are evaluated.
However, for data files you must handle this yourself. For instance, spacy is likely looking for the model in the current working directory. It won’t find your model because it is compiled into the .exe instead and therefore isn’t present in the current working directory.
You will need to use this API:
This allows you to read a data file from the exe that PyInstaller creates. You can then write it to the current working directory and then spacy should be able to find it.
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