Instructions to use mihaien/roberta-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mihaien/roberta-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mihaien/roberta-model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mihaien/roberta-model") model = AutoModelForQuestionAnswering.from_pretrained("mihaien/roberta-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9d9b464e9e1909ffa31b4ecc44161b4bf2bd49dc77bc2b1610072440b8471ca
- Size of remote file:
- 496 MB
- SHA256:
- 6ff76bfedb7b5616c8e3aee0d1d99ebcadb4e7ff9ccf4dea75e349d0d995c7ad
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