Token Classification
Transformers
Latin
Spanish
history
humanities
text-classification
sequence-classification
early-modern
historical-text
latin
spanish
canine
boundary-detection
Eval Results (legacy)
Instructions to use mpilhlt/canine-salamanca-boundary-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mpilhlt/canine-salamanca-boundary-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mpilhlt/canine-salamanca-boundary-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mpilhlt/canine-salamanca-boundary-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download threshold.json from mpilhlt/canine-salamanca-boundary-classifier: direct link, hf CLI and curl.
- Browser
- Download file 36 Bytes
-
https://huggingface.co/mpilhlt/canine-salamanca-boundary-classifier/resolve/main/threshold.json
- Command line
-
hf download hf://mpilhlt/canine-salamanca-boundary-classifier/threshold.json
-
curl -L -o threshold.json https://huggingface.co/mpilhlt/canine-salamanca-boundary-classifier/resolve/main/threshold.json
36 Bytes
| {"threshold": 0.0016470615519210696} |