Instructions to use hf-internal-testing/tiny-random-ElectraForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ElectraForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-ElectraForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-ElectraForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-ElectraForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8233ad72521d4de8e502ac6bca3063668b252643895974e4f1969c66769c5b6
- Size of remote file:
- 1.01 MB
- SHA256:
- b0f08e4e0781364e34ea31277ad7c9dccae07d36013decf3841d88432eaafb0b
路
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