
**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

{"language": ["he"], "tags": ["language model"], "datasets": ["responsa"]}
transformers pytorch bert fill-mask language model he dataset:responsa autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #fill-mask #language model #he #dataset-responsa #autotrain_compatible #endpoints_compatible #region-us 


AlephBERT-base-finetuned-for-shut

Hebrew Language Model

Based on alephbert-base: URL


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

URL()

Training Data

about 26,000 different responsa from different rabbis from the past few hundred years

TAGS
#transformers #pytorch #bert #fill-mask #language model #he #dataset-responsa #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #bert #fill-mask #language model #he #dataset-responsa #autotrain_compatible #endpoints_compatible #region-us 
