Instructions to use Divyam7/electra-baseline-adversarial-augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Divyam7/electra-baseline-adversarial-augmented with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Divyam7/electra-baseline-adversarial-augmented")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Divyam7/electra-baseline-adversarial-augmented") model = AutoModelForQuestionAnswering.from_pretrained("Divyam7/electra-baseline-adversarial-augmented", device_map="auto") - 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:f31d9f1ac432e3a8bebb971dd0d9e09e4f6cc88f8b3f2235b2d6c65f05a43ba4
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size 53962032
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