Instructions to use proycon/robbert-ner-cased-sonar1-nld with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use proycon/robbert-ner-cased-sonar1-nld with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="proycon/robbert-ner-cased-sonar1-nld")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("proycon/robbert-ner-cased-sonar1-nld") model = AutoModelForTokenClassification.from_pretrained("proycon/robbert-ner-cased-sonar1-nld") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5b86ad2e6185550c757ba56ffc1cd4270158a1681de53b1b64d2337bcaf512c
- Size of remote file:
- 496 MB
- SHA256:
- 22ddd1544f2df1ffce5612f0384c576d8061f18ea19c1082420f123229ebaa52
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.