Instructions to use panmiqi/spacy-deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use panmiqi/spacy-deberta with spaCy:
!pip install https://huggingface.co/panmiqi/spacy-deberta/resolve/main/spacy-deberta-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("spacy-deberta") # Importing as module. import spacy-deberta nlp = spacy-deberta.load() - Notebooks
- Google Colab
- Kaggle
Download ner/model from panmiqi/spacy-deberta: direct link, hf CLI and curl.
- Browser
- Download file 226 kB
-
https://huggingface.co/panmiqi/spacy-deberta/resolve/main/ner/model
- Command line
-
hf download hf://panmiqi/spacy-deberta/ner/model
-
curl -L -o model https://huggingface.co/panmiqi/spacy-deberta/resolve/main/ner/model
226 kB
- Xet hash:
- f26f00748113d8e806ae16bcd93e549968450a933986a6a115e34befd6f7308f
- Size of remote file:
- 226 kB
- SHA256:
- bf35b16e148ec3c69fa66a5166b6e13a06d4fb5c5a981b89b95049eab12b391b
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