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---
language:
- he
tags:
- language model
datasets:
- responsa
---
**AlephBERT-base-finetuned-for-shut**
**Hebrew Language Model**
Based on alephbert-base: https://huggingface.co/onlplab/alephbert-base#alephbert
**How to use:**
from transformers import AutoModelForMaskedLM, AutoTokenizer
checkpoint = 'ysnow9876/alephbert-base-finetuned-for-shut'
tokenizer = AutoTokenizer.from_pretrained(checkpoint)
model= AutoModelForMaskedLM.from_pretrained(checkpoint)
#if not finetuning - disable dropout
model.eval()
**Training Data**
about 26,000 different responsa from different rabbis from the past few hundred years