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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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size 649036704
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