Instructions to use leenaconda/squad_qa_custom_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leenaconda/squad_qa_custom_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="leenaconda/squad_qa_custom_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("leenaconda/squad_qa_custom_model") model = AutoModelForQuestionAnswering.from_pretrained("leenaconda/squad_qa_custom_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c0f8cb136f929c3c37acbbfa12740658a6ed7909890ac8f9e14039b036cfca8
- Size of remote file:
- 5.3 kB
- SHA256:
- b9cf90e30a669483bb8fd1a42a4cf97dea89715ec3c47d3d13ef5f8e6218c1d8
路
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