Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
xlm-roberta
punctuation prediction
punctuation
Instructions to use oliverguhr/fullstop-punctuation-multilingual-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oliverguhr/fullstop-punctuation-multilingual-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="oliverguhr/fullstop-punctuation-multilingual-base")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("oliverguhr/fullstop-punctuation-multilingual-base") model = AutoModelForTokenClassification.from_pretrained("oliverguhr/fullstop-punctuation-multilingual-base") - Inference
- Notebooks
- Google Colab
- Kaggle
Add multilingual to the language tag
#2
by lbourdois - opened
Hi! A PR to add multilingual to the language tag to improve the referencing.
Hi @lbourdois
thanks for pointing this out. Unfortunately, your PR introduces some encoding issues with the samples.
I will change this in the main branch and close this PR.
Best
Oliver