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
2 days ago
-
Train FacebookAI/xlm-roberta-base on danielrosehill/hebrew-latin-code-switching: test F1 0.941
Verified signaturee6cfd24