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:
- 77bef160f1c263ddbdd340fd66ee1315f678bd376e8bf03e217b85e5b4278593
- Size of remote file:
- 8.99 MB
- SHA256:
- 298eb2d5d5eb61312491258701be026d5cc9d982de907d0209002f0226e43452
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