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:
- cc67c97b51ae2d29a7b66bb919747c104848d24e38343d6fc0ad0535735f6fa7
- Size of remote file:
- 8.97 MB
- SHA256:
- 08e3d509e4701e1ac3b244861ee243c63bf6b4af417ef7d184bd7cd0c4ac71b6
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