Instructions to use Forturne/qa_roberta_20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Forturne/qa_roberta_20 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Forturne/qa_roberta_20")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Forturne/qa_roberta_20") model = AutoModelForQuestionAnswering.from_pretrained("Forturne/qa_roberta_20", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8c2bf5c01c05265aa151338326e9e21ca4dfc16f5aff3815dc6ded266c7a483
- Size of remote file:
- 1.34 GB
- SHA256:
- c6e9a30a75092ac8d67921f6bc350fb40533a36f51a487ee7a16041a449be00e
路
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