Text Classification
Transformers
PyTorch
Icelandic
roberta
Icelandic
Fallbeyging
Declension
Inflection
GED
IceBERT
text-embeddings-inference
Instructions to use IsakG/declension_error_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IsakG/declension_error_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IsakG/declension_error_detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IsakG/declension_error_detection") model = AutoModelForSequenceClassification.from_pretrained("IsakG/declension_error_detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b3db3452f2f068f7377555547f4b92170e2ad382c50087d67708ca886d770ba
- Size of remote file:
- 498 MB
- SHA256:
- 35381505537b29cbf89cfaf68e60f637f7f86724a361f477e6f6489f971075a8
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