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:
- cb217fd9eed1139e3652001363f96ea89ff9a1a4eab24e0a6e38c30d740a89c3
- Size of remote file:
- 1.34 GB
- SHA256:
- d2e88dfcb28dda0dbc38e8e604b621b717c268f8bd10d7aa3ffecde377952c82
路
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