Instructions to use vesteinn/ScandiBERT-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vesteinn/ScandiBERT-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vesteinn/ScandiBERT-NER", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vesteinn/ScandiBERT-NER") model = AutoModelForTokenClassification.from_pretrained("vesteinn/ScandiBERT-NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("vesteinn/ScandiBERT-NER")
model = AutoModelForTokenClassification.from_pretrained("vesteinn/ScandiBERT-NER", device_map="auto")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vesteinn/ScandiBERT-NER", device_map="auto")