Instructions to use hf-tiny-model-private/tiny-random-ErnieForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-ErnieForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-tiny-model-private/tiny-random-ErnieForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-ErnieForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-tiny-model-private/tiny-random-ErnieForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a4bfcd2eea4526ee37e780fa5012e83e70356404a6990f2ecb17fbe97ea1b614
- Size of remote file:
- 380 kB
- SHA256:
- dd5c08f9384cad9818ebf3bdf8331ab86e187f1f700fe510dcdfc60e1d08deaa
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