Instructions to use hf-internal-testing/tiny-random-ConvBertForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ConvBertForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-ConvBertForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-ConvBertForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-ConvBertForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e69e6f0e68f54cdc88cc19c5aba2100d02a54bec476a92bd46f708b6b3aea2e4
- Size of remote file:
- 5.34 MB
- SHA256:
- 8712d34712fad4b71aca18481217268cf401e7cbf82f715d646dd0ab68468fdb
路
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