Instructions to use Abdullah22/Finetuned_Question_Answering_Model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Abdullah22/Finetuned_Question_Answering_Model2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Abdullah22/Finetuned_Question_Answering_Model2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Abdullah22/Finetuned_Question_Answering_Model2") model = AutoModelForQuestionAnswering.from_pretrained("Abdullah22/Finetuned_Question_Answering_Model2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd183defd5851d989ec2d0f11ad7b6a630fc0611b91d9c2881f9b7724dbf7c7c
- Size of remote file:
- 4.54 kB
- SHA256:
- bf95a94e7d5f4ca155567eb7003c0b4fe756aefbce7b391ff9389c0d641fca4c
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