Token Classification
Transformers
Safetensors
Latin
German
bert
medieval
diplomatics
charter
knowledge-distillation
weakly-supervised
Instructions to use ERCDiDip/charter-diplomatic-segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ERCDiDip/charter-diplomatic-segmentation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ERCDiDip/charter-diplomatic-segmentation")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ERCDiDip/charter-diplomatic-segmentation") model = AutoModelForTokenClassification.from_pretrained("ERCDiDip/charter-diplomatic-segmentation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download quickstart_segmenter_tiny_v4.ipynb from ERCDiDip/charter-diplomatic-segmentation: direct link, hf CLI and curl.
- Browser
- Download file 10.9 kB
-
https://huggingface.co/ERCDiDip/charter-diplomatic-segmentation/resolve/main/quickstart_segmenter_tiny_v4.ipynb
- Command line
-
hf download hf://ERCDiDip/charter-diplomatic-segmentation/quickstart_segmenter_tiny_v4.ipynb
-
curl -L -o quickstart_segmenter_tiny_v4.ipynb https://huggingface.co/ERCDiDip/charter-diplomatic-segmentation/resolve/main/quickstart_segmenter_tiny_v4.ipynb
10.9 kB