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:
- 1220ac2137b07bdf4b6a97d895dedc1a40145fc0c49686521785d32bf2844a4a
- Size of remote file:
- 3.39 kB
- SHA256:
- 3d003a38cc2689a39c8e433f11173898f294b8de8a3a5290fbd23c83f8206ff1
路
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