Instructions to use csae8092/de_MRP_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use csae8092/de_MRP_NER with spaCy:
!pip install https://huggingface.co/csae8092/de_MRP_NER/resolve/main/de_MRP_NER-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("de_MRP_NER") # Importing as module. import de_MRP_NER nlp = de_MRP_NER.load() - Notebooks
- Google Colab
- Kaggle
Download vocab/lookups.bin from csae8092/de_MRP_NER: direct link, hf CLI and curl.
- Browser
- Download file 1 Bytes
-
https://huggingface.co/csae8092/de_MRP_NER/resolve/main/vocab/lookups.bin
- Command line
-
hf download hf://csae8092/de_MRP_NER/vocab/lookups.bin
-
curl -L -o lookups.bin https://huggingface.co/csae8092/de_MRP_NER/resolve/main/vocab/lookups.bin
1 Bytes
- Xet hash:
- 0eac93bcb88bef61007c58c55699e1c781f757c0550151eeb40456b8f0a27601
- Size of remote file:
- 1 Bytes
- SHA256:
- 76be8b528d0075f7aae98d6fa57a6d3c83ae480a8469e668d7b0af968995ac71
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.