Instructions to use NathanDB/my_awesome_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NathanDB/my_awesome_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="NathanDB/my_awesome_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("NathanDB/my_awesome_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("NathanDB/my_awesome_qa_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bcefad491311d02e92a90eaffd6d81d17e8e206e42a9ae40d355c7360357cbdc
- Size of remote file:
- 5.14 kB
- SHA256:
- 29d0ef6b8c00e258c8e8832cf2b7852ca19061a265d778b61db358ef11882838
路
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