Instructions to use hf-internal-testing/tiny-random-DistilBertForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-DistilBertForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-DistilBertForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-DistilBertForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-DistilBertForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72b5d178e7638b92a9f594d4390a89b0a63315f5e05479a69d10d1682e82c91c
- Size of remote file:
- 355 kB
- SHA256:
- 6043f029a307024771fbc88a99d37549bdab06a47b4d47f29ed198e023b60463
路
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