Instructions to use hf-internal-testing/tiny-random-ErnieMForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ErnieMForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-ErnieMForQuestionAnswering")# Load model directly from transformers import AutoModelForQuestionAnswering model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-ErnieMForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ace46875ea49fb7c864b1d272e0c20f410ccaf30fd066d1b415515c38de80eb9
- Size of remote file:
- 32.2 MB
- SHA256:
- de771bd51923f5e76ad2f06db6a694ca3318e586401a116adc8f08e21237e8cf
路
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