Instructions to use parsi-ai-nlpclass/NLP_Spring23_HW4_Question_Answering_G13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use parsi-ai-nlpclass/NLP_Spring23_HW4_Question_Answering_G13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="parsi-ai-nlpclass/NLP_Spring23_HW4_Question_Answering_G13")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("parsi-ai-nlpclass/NLP_Spring23_HW4_Question_Answering_G13") model = AutoModelForQuestionAnswering.from_pretrained("parsi-ai-nlpclass/NLP_Spring23_HW4_Question_Answering_G13") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened over 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened over 2 years ago
by
SFconvertbot