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:
- cf5f273e2224f77556c64c53bbad24fa91693b7132dbf3a9e5be7e4b0682c9fb
- Size of remote file:
- 4.03 kB
- SHA256:
- 062b3838312fd4e83dd14f415a32c3a4b59cc6af17cf8abfd6dc3508784cf7cf
路
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