Instructions to use csae8092/de_RTA_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use csae8092/de_RTA_NER with spaCy:
!pip install https://huggingface.co/csae8092/de_RTA_NER/resolve/main/de_RTA_NER-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("de_RTA_NER") # Importing as module. import de_RTA_NER nlp = de_RTA_NER.load() - Notebooks
- Google Colab
- Kaggle
Download vocab/strings.json from csae8092/de_RTA_NER: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
-
https://huggingface.co/csae8092/de_RTA_NER/resolve/main/vocab/strings.json
- Command line
-
hf download hf://csae8092/de_RTA_NER/vocab/strings.json
-
curl -L -o strings.json https://huggingface.co/csae8092/de_RTA_NER/resolve/main/vocab/strings.json
669 kB
- Xet hash:
- 82e1c884559fc4fd35c9774e00a95aa09a00c7ad356b98b10957ff780a104cb3
- Size of remote file:
- 669 kB
- SHA256:
- 665e7a567569c485a84291ff7f8e961cd9f965b7a12c20fcca821d99bb789a6a
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