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:
- 81a2dfaac73a26699b247a4100f4c90135eb9030a466881d02fea0dac77b45f4
- Size of remote file:
- 2.24 GB
- SHA256:
- f2328539f56061786fcc9d21cc263e31c6dc050dc498da2c55a2aa972e895463
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