Token Classification
Transformers
Safetensors
English
Hebrew
xlm-roberta
code-switching
hebrew
transliteration
romanization
text-to-speech
Eval Results (legacy)
Instructions to use danielrosehill/hebrew-latin-token-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danielrosehill/hebrew-latin-token-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="danielrosehill/hebrew-latin-token-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("danielrosehill/hebrew-latin-token-classifier") model = AutoModelForTokenClassification.from_pretrained("danielrosehill/hebrew-latin-token-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
17 days ago
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Mark as moved; point to Hebrish/Hebrew-Latin-Token-Classifier
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18 days ago
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Card: link hebrish.app and the Hebrish F-Droid repo
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Point at the Hebrish org after the 2026-10-19 migration
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21 days ago
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Link the Replicate API
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Transcript: Misrad HaBriut confirmed by author
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Add results and error-breakdown figures to the card
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Add author's voice note (audio + transcript) and expand the Why section
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22 days ago
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Link the demo Space
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Card: TTS use case and related work
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Inference helper
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Model card
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Train FacebookAI/xlm-roberta-base on danielrosehill/hebrew-latin-code-switching: test F1 0.941
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initial commit
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