Instructions to use ozlemsenel/bert-with-rag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ozlemsenel/bert-with-rag with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ozlemsenel/bert-with-rag")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ozlemsenel/bert-with-rag") model = AutoModelForQuestionAnswering.from_pretrained("ozlemsenel/bert-with-rag") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("ozlemsenel/bert-with-rag")
model = AutoModelForQuestionAnswering.from_pretrained("ozlemsenel/bert-with-rag")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ozlemsenel/bert-with-rag")