Instructions to use stanford-nlpxed/question-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stanford-nlpxed/question-detection with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("stanford-nlpxed/question-detection") model = AutoModel.from_pretrained("stanford-nlpxed/question-detection", 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:c9ff4496a0ce29188bae89aaecabf1d2ae51df30051a513a97e2e0924d4cacc5
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size 437962848
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