Instructions to use badalsahani/oneAPI_QA_Model_kaggle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use badalsahani/oneAPI_QA_Model_kaggle with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="badalsahani/oneAPI_QA_Model_kaggle")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("badalsahani/oneAPI_QA_Model_kaggle") model = AutoModelForQuestionAnswering.from_pretrained("badalsahani/oneAPI_QA_Model_kaggle", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit 路
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Parent(s): f3d9eba
Training in progress, step 5000
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