Instructions to use magepol/en_tech_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use magepol/en_tech_model with spaCy:
!pip install https://huggingface.co/magepol/en_tech_model/resolve/main/en_tech_model-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_tech_model") # Importing as module. import en_tech_model nlp = en_tech_model.load() - Notebooks
- Google Colab
- Kaggle
File size: 671 Bytes
556c5ed | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | import spacy
from spacy.tokenizer import Tokenizer
@spacy.registry.tokenizers("custom_tokenizer")
def create_custom_tokenizer():
def create_tokenizer(nlp):
infixes = nlp.Defaults.infixes + [
r"/",
r"-",
r",",
r":",
]
prefixes = nlp.Defaults.prefixes + [
r"-",
]
prefix_regex = spacy.util.compile_prefix_regex(prefixes)
infix_regex = spacy.util.compile_infix_regex(infixes)
return Tokenizer(
nlp.vocab,
prefix_search=prefix_regex.search,
infix_finditer=infix_regex.finditer,
)
return create_tokenizer
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