Instructions to use universalner/uner_cro_set with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_cro_set with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_cro_set")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_cro_set") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_cro_set") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f118d1eb9b3ca6b203eb89b51296fa968e597d9ac9261add26e2d04ce93c8a93
- Size of remote file:
- 4.02 kB
- SHA256:
- f5e3309d28fdd5ef21f7ae97427c97a6eb5cfc2a9ee55fbf83262756848b6391
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