Instructions to use ysnow9876/alephbert-base-finetuned-for-shut with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ysnow9876/alephbert-base-finetuned-for-shut with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ysnow9876/alephbert-base-finetuned-for-shut")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ysnow9876/alephbert-base-finetuned-for-shut") model = AutoModelForMaskedLM.from_pretrained("ysnow9876/alephbert-base-finetuned-for-shut") - Notebooks
- Google Colab
- Kaggle
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
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