Instructions to use hf-internal-testing/tiny-random-FlaubertForQuestionAnsweringSimple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FlaubertForQuestionAnsweringSimple with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-FlaubertForQuestionAnsweringSimple")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FlaubertForQuestionAnsweringSimple") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-FlaubertForQuestionAnsweringSimple") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1f790844fd7789116d02e64d09de3c89eb426b588c920a01ed9b52528dbd86e
- Size of remote file:
- 9.07 MB
- SHA256:
- 9bcf25c596e8208835434170c436ded9e1e23c941cd7735f80535bbb1204c33d
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