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:
- e3ad01555d1e41c2a71e2810c7a809652204492c77b0dad317f14d87022b62fd
- Size of remote file:
- 709 MB
- SHA256:
- 69c7c88ba1938ea304008c4fb9c1fad8c1253a9b89881a23dd647956d01b5967
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