Instructions to use iulusoy/de_test_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use iulusoy/de_test_pipeline with spaCy:
!pip install https://huggingface.co/iulusoy/de_test_pipeline/resolve/main/de_test_pipeline-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("de_test_pipeline") # Importing as module. import de_test_pipeline nlp = de_test_pipeline.load() - Notebooks
- Google Colab
- Kaggle
Download ner/model from iulusoy/de_test_pipeline: direct link, hf CLI and curl.
- Browser
- Download file 6.14 MB
-
https://huggingface.co/iulusoy/de_test_pipeline/resolve/main/ner/model
- Command line
-
hf download hf://iulusoy/de_test_pipeline/ner/model
-
curl -L -o model https://huggingface.co/iulusoy/de_test_pipeline/resolve/main/ner/model
6.14 MB
- Xet hash:
- 095897dc1f9d955189c18e51554e3254cdc1b8f97fda6004c300818bd3bdaa7e
- Size of remote file:
- 6.14 MB
- SHA256:
- ed5bd5d863ea3588431fce593428930529bc3b2e880d896a778913e4b230405d
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