Instructions to use universalner/uner_swe_tal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_swe_tal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_swe_tal")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_swe_tal") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_swe_tal") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 420a7b10f8af0fdcbca241b7526b8f30bfed8f747a6527e0037412521f34a4d4
- Size of remote file:
- 4.02 kB
- SHA256:
- 9d2b8b52c4a53d88c820842a7ff9f8baa2500ad421a492e7d1ca608adf1f3312
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