Instructions to use ronit01/my_awesome_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ronit01/my_awesome_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ronit01/my_awesome_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ronit01/my_awesome_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("ronit01/my_awesome_qa_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5746ea75582bff46302c5dc881c1d41b248f921e3c8095574f5beeea5b9f2920
- Size of remote file:
- 265 MB
- SHA256:
- c9c60b3467b4f99a0737985a9128ffac24f1d1582d17a6834676a51e19962ad9
路
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