Instructions to use hf-internal-testing/tiny-random-AlbertForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-AlbertForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-AlbertForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-AlbertForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-AlbertForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e44a4064f4e61a82e4fbc1a23c53db37b7a9aeb578f87bd7d924e5dec7db0309
- Size of remote file:
- 15.9 MB
- SHA256:
- c2d527a18d99f9743a86f4fb21ddfe37e5f39f06df9ef9d8eca2ee6b76a738b5
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