sister
SISTER (SImple SenTence EmbeddeR)
Installation
pip install sister
Basic Usage
import sister
sentence_embedding = sister.MeanEmbedding(lang="en")
sentence = "I am a dog."
vector = sentence_embedding(sentence)
Supported languages.
- English
- Japanese
- French
In order to support a new language, please implement Tokenizer (inheriting sister.tokenizers.Tokenizer) and add fastText
pre-trained url to word_embedders.get_fasttext() (List of model urls).
Bert models are supported for en, fr, ja (2020-06-29).
Actually Albert for English, CamemBERT for French and BERT for Japanese.
To use BERT, you need to install sister by pip install 'sister[bert]'.
import sister
bert_embedding = sister.BertEmbedding(lang="en")
sentence = "I am a dog."
vector = bert_embedding(sentence)
You can also give multiple sentences to it (more efficient).
import sister
bert_embedding = sister.BertEmbedding(lang="en")
sentences = ["I am a dog.", "I want be a cat."]
vectors = bert_embedding(sentences)
1 maintainer
Metadata
1 maintainer
Release files for sister 0.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sister-0.2.2.tar.gz | 4.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sister-0.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.0 kB
Release files / sister-0.2.2.tar.gz
| Download URL | sister-0.2.2.tar.gz |
|---|---|
| Size | 4.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
poetry/1.1.5 CPython/3.8.6 Darwin/19.5.0
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Release files / sister-0.2.2-py3-none-any.whl
| Download URL | sister-0.2.2-py3-none-any.whl |
|---|---|
| Size | 5.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.5 CPython/3.8.6 Darwin/19.5.0
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