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
Download head.pt from aloudreader/uk-stress-token-classifier: direct link, hf CLI and curl.
- Browser
- Download file 2.39 MB
-
https://huggingface.co/aloudreader/uk-stress-token-classifier/resolve/main/head.pt
- Command line
-
hf download hf://aloudreader/uk-stress-token-classifier/head.pt
-
curl -L -o head.pt https://huggingface.co/aloudreader/uk-stress-token-classifier/resolve/main/head.pt
2.39 MB
- Xet hash:
- 031d81f3fe3b944bb3ccbb13fef7b084cbae3bec4a7b2ec4c17a22decc05874a
- Size of remote file:
- 2.39 MB
- SHA256:
- 5dfbb68e4e0caca8a66e853b0b6ab5dc34f7106f3e958b5393febfaba201730c
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