Token Classification
spaCy
Danish
dacy
danish
pos tagging
morphological analysis
dependency parsing
named entity recognition
Eval Results (legacy)
Instructions to use chcaa/da_dacy_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use chcaa/da_dacy_tiny with spaCy:
!pip install https://huggingface.co/chcaa/da_dacy_tiny/resolve/main/da_dacy_tiny-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("da_dacy_tiny") # Importing as module. import da_dacy_tiny nlp = da_dacy_tiny.load() - Notebooks
- Google Colab
- Kaggle
Download lemmatizer/model from chcaa/da_dacy_tiny: direct link, hf CLI and curl.
- Browser
- Download file 464 kB
-
https://huggingface.co/chcaa/da_dacy_tiny/resolve/main/lemmatizer/model
- Command line
-
hf download hf://chcaa/da_dacy_tiny/lemmatizer/model
-
curl -L -o model https://huggingface.co/chcaa/da_dacy_tiny/resolve/main/lemmatizer/model
464 kB
- Xet hash:
- 08a335c76db64073e488ead6add25e68a7dffb25f745ed7ee8f5f64f875e64b4
- Size of remote file:
- 464 kB
- SHA256:
- d1b29dbe963d7b6d259b3f1c11ad510595bcb231ac48c7eb6d7c6c4b4d8b4613
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.