Instructions to use hf-tiny-model-private/tiny-random-RobertaForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-RobertaForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-tiny-model-private/tiny-random-RobertaForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-RobertaForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-tiny-model-private/tiny-random-RobertaForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc7c34eac4664adf530b7e4336daf559b81701f5ba0b6ca4fb47132e5785def4
- Size of remote file:
- 367 kB
- SHA256:
- 2dba916f5134948074d415945c1cfa5cb3eb17503ed2a857cfd97dc58612b997
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