Instructions to use hf-internal-testing/tiny-random-RobertaForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-RobertaForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-RobertaForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-RobertaForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-RobertaForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8226041692b615bf186309dfae61f0e34bcf8920c23a5d33499cdb0ce605bf45
- Size of remote file:
- 367 kB
- SHA256:
- 0210dd52d2f05badc8175394b761c52dd4b415499ad3d676138c045a22423d76
路
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