Token Classification
Transformers
Safetensors
Finnish
electra
punctuation-restoration
sentence-boundary-detection
truecasing
speech-recognition
streaming
finnish
Instructions to use samuli/mateli-punct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samuli/mateli-punct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="samuli/mateli-punct")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("samuli/mateli-punct") model = AutoModelForTokenClassification.from_pretrained("samuli/mateli-punct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from samuli/mateli-punct: direct link, hf CLI and curl.
- Browser
- Download file 633 kB
-
https://huggingface.co/samuli/mateli-punct/resolve/main/tokenizer.json
- Command line
-
hf download hf://samuli/mateli-punct/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/samuli/mateli-punct/resolve/main/tokenizer.json
633 kB
File too large to display, you can check the raw version instead.