Instructions to use m3hrdadfi/icelandic-ner-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m3hrdadfi/icelandic-ner-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="m3hrdadfi/icelandic-ner-distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("m3hrdadfi/icelandic-ner-distilbert") model = AutoModelForTokenClassification.from_pretrained("m3hrdadfi/icelandic-ner-distilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b14bbbc02008c846663ecb25bc57bace93d7c85640a2baab9790810390b72579
- Size of remote file:
- 539 MB
- SHA256:
- 420497d1b21b5eee71dca7853173c0671c2d21cefc2ed683019e6c6a9926448c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.