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:
- 92d2cd763c3fb1f2d129d4343d2914a9d504bbcd9d74ad29a123db7b416ce9e7
- Size of remote file:
- 5.87 kB
- SHA256:
- a5763725c515a937150f79fea1f991ee3aa99eeccb0bf79fe7c648e4d071573f
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