Instructions to use Andrei95/skillber-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andrei95/skillber-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Andrei95/skillber-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Andrei95/skillber-ner") model = AutoModelForTokenClassification.from_pretrained("Andrei95/skillber-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3687070e74e6099aeb5736f067c2c15a4bab3784360659a65a38744cf77046d8
- Size of remote file:
- 753 kB
- SHA256:
- eadda6e469b02e3d029d4bc0f87a6106b0d3ffbdf18b752c4a3ec7c3f9a38220
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