Instructions to use dferndz/electra-small-discriminator-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dferndz/electra-small-discriminator-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="dferndz/electra-small-discriminator-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("dferndz/electra-small-discriminator-squad") model = AutoModelForQuestionAnswering.from_pretrained("dferndz/electra-small-discriminator-squad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80ba37360ca3e2e56aabbb388b037d78a821d712f0554906a8f562761317fd75
- Size of remote file:
- 54 MB
- SHA256:
- 344be48131a9c58c4757f117fbc052c904ac77d0d4569e73afd850cf7a7d42c5
路
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