Instructions to use Batool/en_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Batool/en_pipeline with spaCy:
!pip install https://huggingface.co/Batool/en_pipeline/resolve/main/en_pipeline-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_pipeline") # Importing as module. import en_pipeline nlp = en_pipeline.load() - Notebooks
- Google Colab
- Kaggle
Download transformer/model from Batool/en_pipeline: direct link, hf CLI and curl.
- Browser
- Download file 502 MB
-
https://huggingface.co/Batool/en_pipeline/resolve/main/transformer/model
- Command line
-
hf download hf://Batool/en_pipeline/transformer/model
-
curl -L -o model https://huggingface.co/Batool/en_pipeline/resolve/main/transformer/model
502 MB
- Xet hash:
- ec3cefadec0df194621e0611ada9d8f7c18b8bd858b5a751bd815ac08d44148a
- Size of remote file:
- 502 MB
- SHA256:
- e2a6ccdfc6ec8fec7e10f78d76586015ecefe69f84b10e926d3a445458bc8b14
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