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:
- f52ca047d3952e4ab8c42e709d747e86d384a7ee618abb2becb5707d3af589f3
- Size of remote file:
- 349 kB
- SHA256:
- f6c25d09d9ae5bb09096edff793e5d8cac0b87c20668458cd52fa894663d80d8
路
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