Instructions to use nide01/squad_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nide01/squad_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="nide01/squad_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nide01/squad_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("nide01/squad_qa_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e49e89e53d036bd256e81b62bb9f09622d30b6148c035d3184aee0cb8f1c1a0
- Size of remote file:
- 4.92 kB
- SHA256:
- 2feebbc7699cc369cfc0e33dd667a5b441f660e77f9a6e0ec4817fed13fa7f7c
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