Instructions to use marshmellow77/roberta-base-cuad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marshmellow77/roberta-base-cuad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="marshmellow77/roberta-base-cuad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("marshmellow77/roberta-base-cuad") model = AutoModelForQuestionAnswering.from_pretrained("marshmellow77/roberta-base-cuad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9c06854757ddd800d73e38c2d7b9f8ed46fbb04630a231e6f2beb50020a9dfa
- Size of remote file:
- 2.1 kB
- SHA256:
- 4b055aeffd2a83b1d6f4a407746b6df945088b32f55d447569ccddd8d819d651
路
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