Instructions to use Shushant/questionansweringmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shushant/questionansweringmodel 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="Shushant/questionansweringmodel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Shushant/questionansweringmodel") model = AutoModelForQuestionAnswering.from_pretrained("Shushant/questionansweringmodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Shushant Pudasaini commited on
Commit 路
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Parent(s): 5b4eb32
Training in progress, step 40000
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pytorch_model.bin
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runs/Mar14_07-36-35_g002/events.out.tfevents.1678775837.g002.239158.0
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