How to use Sefaria/BEREL_3.0-hebrew-error-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Sefaria/BEREL_3.0-hebrew-error-detector")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Sefaria/BEREL_3.0-hebrew-error-detector") model = AutoModelForTokenClassification.from_pretrained("Sefaria/BEREL_3.0-hebrew-error-detector", device_map="auto")
https://huggingface.co/Sefaria/BEREL_3.0-hebrew-error-detector/resolve/main/tokenizer.json
hf download hf://Sefaria/BEREL_3.0-hebrew-error-detector/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Sefaria/BEREL_3.0-hebrew-error-detector/resolve/main/tokenizer.json
