Instructions to use mlxen/electra-squad-contrasting-validation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlxen/electra-squad-contrasting-validation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mlxen/electra-squad-contrasting-validation")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mlxen/electra-squad-contrasting-validation") model = AutoModelForQuestionAnswering.from_pretrained("mlxen/electra-squad-contrasting-validation") - 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:ccf7e03b18a5b0234ef56a74a5b72dae577b91fb3760a8109369c8cbfdb15b13
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size 53962032
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