Token Classification
Transformers
Safetensors
Ukrainian
xlm-roberta
feature-extraction
ukrainian
stress
homograph
tts
Instructions to use aloudreader/uk-stress-token-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aloudreader/uk-stress-token-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="aloudreader/uk-stress-token-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("aloudreader/uk-stress-token-classifier") model = AutoModel.from_pretrained("aloudreader/uk-stress-token-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 353 Bytes
d2795e0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"all": {
"rows": 66630,
"accuracy": 0.85002251238181,
"first_candidate": 0.5555605583070689
},
"unseen form": {
"rows": 30754,
"accuracy": 0.7447486505820381,
"first_candidate": 0.5997593808935423
},
"seen form": {
"rows": 35876,
"accuracy": 0.9402664734084067,
"first_candidate": 0.5176719812688148
}
} |