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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35038eae5629bdd90cbd46c0d4f1185df170c8ba6bcfd16709819cafe8075112
- Size of remote file:
- 1.13 MB
- SHA256:
- 27cdc9fe992954d49ef3598d5f461298041e99076f9afe2bd2de5142c47f4e90
路
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