Instructions to use dicta-il/dictabert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dicta-il/dictabert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dicta-il/dictabert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dicta-il/dictabert") model = AutoModelForMaskedLM.from_pretrained("dicta-il/dictabert") - Inference
- Notebooks
- Google Colab
- Kaggle
how to use this model (or its derivatives) for getting sentence embeddings?
#3
by liormessinger - opened
is there a ready-made model or i need to fine-tune? i saw BERL but not sure if its up for the task. thank you!
Currently the models aren't tuned for generating embeddings for RAG purposes.
Are you planning to do it in the future?
Yes, it is in the plan.