Instructions to use alexandrainst/da-ner-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexandrainst/da-ner-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="alexandrainst/da-ner-base")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("alexandrainst/da-ner-base") model = AutoModelForTokenClassification.from_pretrained("alexandrainst/da-ner-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a31b5d80e732d48997359c46dc1bd3eab1b898d79dbf1c33e3495ed3e5c366da
- Size of remote file:
- 440 MB
- SHA256:
- 8d5168a7eaef0e4fca20692c5f0aee87d248ee91074724861e2fb7dda4a141f3
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