Instructions to use hf-internal-testing/tiny-random-SplinterForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-SplinterForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-SplinterForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-SplinterForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-SplinterForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d51823d3a48ba80efd92ddfd3f053a167704043b1073d44d49da0ec59c63db82
- Size of remote file:
- 3.98 MB
- SHA256:
- e0fdd73e260eb2a5485a90958977bdde695dcd854a3f04166ff35ebcf0f3bfd4
路
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