Instructions to use universalner/uner_ser_set with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_ser_set with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_ser_set")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_ser_set") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_ser_set") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4641294523c562a4ee4da46ca030a07b0ccce92d1396483625382c372b3a2174
- Size of remote file:
- 4.02 kB
- SHA256:
- f4011b95e4620a0a723331686db4d78f12db08ab02fcf004641b5baff22f7639
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