Instructions to use hf-internal-testing/tiny-random-BloomForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BloomForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-BloomForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BloomForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-BloomForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbd5b3d3acbb700dff1e7b3170451f8597a96ebed083573540ee17d541aaf38d
- Size of remote file:
- 393 kB
- SHA256:
- 9d928f1dbe9c903e3f55ff565533d57d5bb75fe3d182d9d97aa33a01e6cee6b9
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