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:
- 03bb1d5b25d5c24a8026f8358086cc7381a76a51c7a7df7c36cae78334d6e8bc
- Size of remote file:
- 3.45 kB
- SHA256:
- eb4155a5331fa9669946bd5fcef39058fb940f3956632ecb55d8766f8b990705
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