Instructions to use mirfan899/da_spacy_sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use mirfan899/da_spacy_sentiment with spaCy:
!pip install https://huggingface.co/mirfan899/da_spacy_sentiment/resolve/main/da_spacy_sentiment-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("da_spacy_sentiment") # Importing as module. import da_spacy_sentiment nlp = da_spacy_sentiment.load() - Notebooks
- Google Colab
- Kaggle
Download tok2vec/model from mirfan899/da_spacy_sentiment: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/mirfan899/da_spacy_sentiment/resolve/main/tok2vec/model
- Command line
-
hf download hf://mirfan899/da_spacy_sentiment/tok2vec/model
-
curl -L -o model https://huggingface.co/mirfan899/da_spacy_sentiment/resolve/main/tok2vec/model
34.4 MB
- Xet hash:
- 43805369eaea88a60ff4f93ce163670b0ac7f4fc19bb30e740ec1d2173f69075
- Size of remote file:
- 34.4 MB
- SHA256:
- e67403e304351aa70c631c51e8ef9802455a17e7622e2645716d1b8e5fa13b8e
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