Fill-Mask
Transformers
PyTorch
Safetensors
Hebrew
bert
hebrew
nlp
masked-language-model
BERT
parliamentary-proceedings
language-model
Knesset
DictaBERT
fine-tuning
Instructions to use GiliGold/Knesset-DictaBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GiliGold/Knesset-DictaBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="GiliGold/Knesset-DictaBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("GiliGold/Knesset-DictaBERT") model = AutoModelForMaskedLM.from_pretrained("GiliGold/Knesset-DictaBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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