Instructions to use readerbench/ro-offense-sequences with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use readerbench/ro-offense-sequences with Transformers:
# Load model directly from transformers import BERT_CRF model = BERT_CRF.from_pretrained("readerbench/ro-offense-sequences", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0465a0ed33337f8e87a752aaf087b4fee5e2b43d90074295315c3b309d2f4ba4
- Size of remote file:
- 460 MB
- SHA256:
- 987168a9737fed6364ad6050377691e87b08ffb9307e61a050769e6138c43579
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