Instructions to use Andranik/TestQaV1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andranik/TestQaV1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Andranik/TestQaV1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Andranik/TestQaV1") model = AutoModelForQuestionAnswering.from_pretrained("Andranik/TestQaV1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model.bin with git-lfs
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b390c49e053174314b707e2aa42f2cb6f41c9b7404f2210f427ee0cd3a830b6b
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size 496308209
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