Instructions to use hf-internal-testing/tiny-random-RoFormerForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-RoFormerForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-RoFormerForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-RoFormerForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-RoFormerForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- faf7c6b7723bdd3a044e99f4b14df566d6e145024d15fb0efb02cfea4656ecc4
- Size of remote file:
- 6.56 MB
- SHA256:
- 8b63607ee2ae4f4bded57f7c137d7f906b43f93daed3b1b0f3e924ff8867412d
路
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