Instructions to use VMware/electra-small-mrqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VMware/electra-small-mrqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="VMware/electra-small-mrqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("VMware/electra-small-mrqa") model = AutoModelForQuestionAnswering.from_pretrained("VMware/electra-small-mrqa") - Notebooks
- Google Colab
- Kaggle
Commit 路
ef0b46b
1
Parent(s): a919f7d
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (18704b8e64f3f6176cec030480cb6fcf220f892b)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:97e5a592825705a83332742df51014f66148882a55d2aa70b92eafd551824ec1
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size 53962032
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