Instructions to use rafmacalaba/gliner_datause_extended with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use rafmacalaba/gliner_datause_extended with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("rafmacalaba/gliner_datause_extended") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0933c6e25b9263dbda3b42d489eb9208579a2f9886f70617e4eb3683e1987ff1
- Size of remote file:
- 1.78 GB
- SHA256:
- 1fee35de02019565428a7775f085febe2fbb2eb3aa499806ee80e411765cca61
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