Instructions to use hf-internal-testing/tiny-random-ErnieForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ErnieForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-ErnieForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-ErnieForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-ErnieForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5464212b813c4e97e278cf36c2da97924a57e5f93a014b83bbdbe316631c5817
- Size of remote file:
- 380 kB
- SHA256:
- 725a91e9d6f6cc18a3652b90f01ef2997d0e54382d2e8b1fe49d672da7fc3a03
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