Instructions to use diffuserconfuser/roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diffuserconfuser/roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="diffuserconfuser/roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("diffuserconfuser/roberta-base") model = AutoModelForQuestionAnswering.from_pretrained("diffuserconfuser/roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c323c0ccf6be483d9b56ded690dee81f471ee9d7a1bc11d60ae546b956cf84d
- Size of remote file:
- 496 MB
- SHA256:
- 0f8d723b4566c2fb0b397c2ea728e1884c0746959f9bbae70210f6a2d6c4de29
路
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