Instructions to use minhdang14902/Roberta_edu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use minhdang14902/Roberta_edu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="minhdang14902/Roberta_edu")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("minhdang14902/Roberta_edu") model = AutoModelForQuestionAnswering.from_pretrained("minhdang14902/Roberta_edu") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68280ce25b7d23be227db87beca6482efdde430266ba60c130a910866417c470
- Size of remote file:
- 1.11 GB
- SHA256:
- 8849f741e5952148f61fce81826a798edadee0c216fd582c44b8a9192122ed88
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