Instructions to use hf-internal-testing/tiny-random-DebertaForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-DebertaForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-DebertaForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-DebertaForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-DebertaForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d3cf1af500af351b895c9039aa1561659d0a583041b214a055a7424c7915810
- Size of remote file:
- 347 kB
- SHA256:
- 1512ed51fb818e335f7cd453ba6970694d278dc091ff76b73a583d0694781d3b
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