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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2773e40b9e50d02ef4a819e0cb9eeb2b4f1fde456df0d0f8519eabd28dcfbebe
- Size of remote file:
- 407 kB
- SHA256:
- 1408f0e2c0d8ff575db014f8ba02a6a394d21f364047936811f21e2e4cefdfc8
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