Instructions to use machinelearningzuu/gem-qna with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use machinelearningzuu/gem-qna with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="machinelearningzuu/gem-qna")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("machinelearningzuu/gem-qna") model = AutoModelForQuestionAnswering.from_pretrained("machinelearningzuu/gem-qna") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e0b40a7b9434fbf5b5db2c73bd80839a7e7e1f8248463066e85a5c1fae503ff7
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size 265470032
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