Instructions to use WebDUh1/autotrain-faqued-2983486071 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WebDUh1/autotrain-faqued-2983486071 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="WebDUh1/autotrain-faqued-2983486071")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("WebDUh1/autotrain-faqued-2983486071") model = AutoModelForQuestionAnswering.from_pretrained("WebDUh1/autotrain-faqued-2983486071") - Notebooks
- Google Colab
- Kaggle