kandi X-RAY | spacy-transformers Summary
kandi X-RAY | spacy-transformers Summary
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
Top functions reviewed by kandi - BETA
- Create a TransformerV3vec model
- Convert tensors to arrays
- Forward transformer computation
- Calculate the alignment of tokens
- Verify inputs are correct
- Transpose a list
- Reads the configuration from a byte string
- Create a temporary directory
- Convert the model to a bytes object
- Create a TransformerV2vec model
- Creates a model for the transformer
- Transformer for Transformer
- Find listeners for this component
- Adds a listener to the model
- Replace listener configuration with listener cfg
- Deserialize Transformer data
spacy-transformers Key Features
spacy-transformers Examples and Code Snippets
pipeline: - name: HFTransformersNLP model_name: "bert" model_weights: "PATH_TO_YOUR_FINETUNED_MODEL_DIRECTORY" cache_dir: "PATH_TO_SOME_CACHE_FOLDER" - name: LanguageModelFeaturizer - name: DIETClassifier random_seed: 42 intent_clas
[components.transformer.model] @architectures = "ginza-transformers.TransformerModel.v1" name = "megagonlabs/transformers-ud-japanese-electra-base-discriminator" [components.transformer.model.tokenizer_config] use_fast = false tokenizer_class = "sud
[components.transformer] factory = "transformer_custom" [components.transformer.model] name = "megagonlabs/transformers-ud-japanese-electra-base-ginza"
Trending Discussions on spacy-transformers
I have created a spacy transformer model for named entity recognition. Last time I trained till it reached 90% accuracy and I also have a
model-best directory from where I can load my trained model for predictions. But now I have some more data samples and I wish to resume training this spacy transformer. I saw that we can do it by changing the
config.cfg but clueless about 'what to change?'
This is my
config.cfg after running
python -m spacy init fill-config ./base_config.cfg ./config.cfg:
ANSWERAnswered 2022-Jan-20 at 07:21
The vectors setting is not related to the
transformer or what you're trying to do.
In the new config, you want to use the
source option to load the components from the existing pipeline. You would modify the
[component] blocks to contain only the
source setting and no other settings:
I use the following commands (from spacy website here) to install spacy and en_core_web_trf under Windows 10 home 64 bit, however, I have encountered problems while running the last (third line) command....
ANSWERAnswered 2022-Jan-15 at 21:24
pip uninstall spacy-transformers 1.1.4
pip uninstall spacy-transformers 1.1.3
pip uninstall spacy-transformers 1.1.2
I'm trying to build a SpaCy pipeline using multiple components. My current pipeline only has two components at the moment, one entity ruler, and another custom component.
The way I build it is like this:...
ANSWERAnswered 2021-Dec-21 at 10:15
At the place where you load the model, you need to have access to the code that defined the custom component. So if your file that defines the custom component is
custom.py, you can put
import custom at the top of the file where you're loading your pipeline and it should work.
Also see the docs on saving and loading custom components.
I'm here to ask you guys if it is possible to use an existing trained huggingface-transformers model with spacy.
My first naive attempt was to load it via
spacy.load('bert-base-uncased'), it didn't work because spacy demands a certain structure, which is understandable.
Now I'm trying to figure out how to use the
spacy-transformers library to load the model, create the spacy structure, and use it from that point as a normal spacy-aware model.
I don't know if it is even possible as I couldn't find anything regarding the subject. I've tried to read the documentation but all guides, examples, and posts I found, start from a spacy structured model like spacy/en_core_web_sm, but how did that model was created in the first place? I can believe someone has to train everything again with spacy.
Can I get some help from you?
ANSWERAnswered 2021-Oct-29 at 03:58
What you do is add a Transformer component to your pipeline and give the name of your HuggingFace model as a parameter to that. This is covered in the docs, though people do have trouble finding it. It's important to understand that a Transformer is only one piece of a spaCy pipeline, and you should understand how it all fits together.
To pull from the docs, this is how you specify a custom model in a config:
I was trying to create a custom NER model. I used spacy library to create the model. And this line of code is to create the config file from the
My code is :
ANSWERAnswered 2021-Oct-24 at 10:22
This happened since spacy had a new update 3.1 recently. And the base_config file have the architecture mentioned as "spacy-transformers.TransformerModel.v3". Change it into "spacy-transformers.TransformerModel.v1"
As the self guide says, I've installed it with (conda environment)...
ANSWERAnswered 2021-Oct-01 at 23:49
Are you sure you did install spacy-transformers? After installing spacy?
I am using pip: pip install spacy-transformers and I have no problems loading the en_core_web_trf.
I'm using Spacy-Transformers to build some NLP models.
The Spacy-Transformers docs say:
spaCy pipelines for pretrained BERT, XLNet and GPT-2
The sample code on that page shows:...
ANSWERAnswered 2021-Aug-28 at 05:16
en_core_web_trf uses a specific Transformers model, but you can specify arbitrary ones using the
TransformerModel wrapper class from
spacy-transformers. See the docs for that. An example config:
Following the official instruction, I'm trying to add an extra training dataset and train a model on local cpu environment.
But I don't change the content of base_config.cfg and config.cfg files.
How can I fix these errors to build a model and evaluate it?Error
I'm not sure about the first one is an issue or not, and I have no idea to fill the config.cfg file.
The config.cfg file was an empty even after executing the code on the below procedure so far section.
The error message was shown when executing train command.
ANSWERAnswered 2021-Jul-23 at 08:19
It looks like you double-pasted the config or something? From the errors you'll note that it says you have two
[paths] sections. About halfway through your file there's a comment like this:
I'm a Spacy's new user and I'm trying to run this ner_demo_update project and I got this error : catalogue.RegistryError: [E893] Could not find function 'spacy.copy_from_base_model.v1' in function registry 'callbacks'. If you're using a custom function, make sure the code is available. If the function is provided by a third-party package, e.g. spacy-transformers, make sure the package is installed in your environment. I'll like to know if someone has face the same issue....
ANSWERAnswered 2021-May-03 at 17:08
copy_from_base_model.v1 is a new function, introduced in spaCy v3.0.6. Are you perhaps running an older version of spaCy? If so, can you try updating it? This will likely resolve your error.
I'm trying to use the spacy_langdetect package and the only example code I can find is (https://spacy.io/universe/project/spacy-langdetect):...
ANSWERAnswered 2021-Mar-20 at 23:11
With spaCy v3.0 for components not built-in such as LanguageDetector, you will have to wrap it into a function prior to adding it to the nlp pipe. In your example, you can do the following:
No vulnerabilities reported
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