Instructions to use HesterZ/grc_odycy_joint_trf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use HesterZ/grc_odycy_joint_trf with spaCy:
!pip install https://huggingface.co/HesterZ/grc_odycy_joint_trf/resolve/main/grc_odycy_joint_trf-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("grc_odycy_joint_trf") # Importing as module. import grc_odycy_joint_trf nlp = grc_odycy_joint_trf.load() - Notebooks
- Google Colab
- Kaggle
Download parser/model from HesterZ/grc_odycy_joint_trf: direct link, hf CLI and curl.
- Browser
- Download file 2.08 MB
-
https://huggingface.co/HesterZ/grc_odycy_joint_trf/resolve/main/parser/model
- Command line
-
hf download hf://HesterZ/grc_odycy_joint_trf/parser/model
-
curl -L -o model https://huggingface.co/HesterZ/grc_odycy_joint_trf/resolve/main/parser/model
2.08 MB
- Xet hash:
- c038c5681ea0662854808d7110371650c4e790713d659ee34b4f5d1bb21c3fb5
- Size of remote file:
- 2.08 MB
- SHA256:
- 854e4dd7a628283a736e7d75da8d27eacda607f19fb49afebca3b6c27efcbeaf
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