Instructions to use DaFull/en_core_web_sm_job with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use DaFull/en_core_web_sm_job with spaCy:
!pip install https://huggingface.co/DaFull/en_core_web_sm_job/resolve/main/en_core_web_sm_job-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_core_web_sm_job") # Importing as module. import en_core_web_sm_job nlp = en_core_web_sm_job.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87a3016689b7e64dd79109870dce09740b304ccd33c0583b67eb1cdcc30765ea
- Size of remote file:
- 6.27 MB
- SHA256:
- 38ba3a19d37317f9388a2c00ca7ddb531119194d6b3e2567a1d61dc62f1ce881
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.