Instructions to use Deehan1866/PR-pass-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Deehan1866/PR-pass-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Deehan1866/PR-pass-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Deehan1866/PR-pass-roberta-large") model = AutoModelForQuestionAnswering.from_pretrained("Deehan1866/PR-pass-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdaf2227a9f9ea0a314d77875634fc14178f27671e3ffa6f5bca5b8ecf823b4a
- Size of remote file:
- 5.24 kB
- SHA256:
- 97da50d7d17244dcd4a3323733ca40f1d31319ee4fb16edf81028ae5e21f19c5
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