Instructions to use ProMeText/aquilign-multilingual-segmenter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProMeText/aquilign-multilingual-segmenter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ProMeText/aquilign-multilingual-segmenter")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ProMeText/aquilign-multilingual-segmenter") model = AutoModelForTokenClassification.from_pretrained("ProMeText/aquilign-multilingual-segmenter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7668f18feade42bcbca1f5f88044effd861b081d5dc3d28d6fdfaa4739de7f2
- Size of remote file:
- 1.42 GB
- SHA256:
- 3b836f30893427e221487e575727921a7478c6f139bdfdec378b1cd1a539df28
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