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:
- c14efae414114cc33670cd3b7b195bffdf421c58199bfce25d38b88a9f42d11d
- Size of remote file:
- 439 MB
- SHA256:
- 1d67a3243768eb4e61aeef73da9088157719b17f0f071f4c8e1db8b306f425a8
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