Instructions to use universalner/uner_slo_snk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_slo_snk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_slo_snk")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_slo_snk") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_slo_snk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9978d4b55dec682a1df7ad6a51210640550a3d4a6ac461f843de2a950bea003
- Size of remote file:
- 4.02 kB
- SHA256:
- 62f4fab20fa7947d6f441381456b06fdd49122ee76d837158b0847d460f9488b
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