Instructions to use warrior1127/my_awesome_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use warrior1127/my_awesome_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="warrior1127/my_awesome_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("warrior1127/my_awesome_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("warrior1127/my_awesome_qa_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ec4d21cac5ce2db0670ed4e00a51fa10ef14129ebb7790a3083cb5c1a799dc7
- Size of remote file:
- 265 MB
- SHA256:
- 0f6afda7d03921ef7259f1fd196c785931bdcde7100404213da4d28771486161
路
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