Instructions to use Forturne/qa_roberta_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Forturne/qa_roberta_5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Forturne/qa_roberta_5")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Forturne/qa_roberta_5") model = AutoModelForQuestionAnswering.from_pretrained("Forturne/qa_roberta_5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93aec081604ec04870f4847986a62c1415ac9540496b29b3c67058475c9b6405
- Size of remote file:
- 1.34 GB
- SHA256:
- d91ded24b445ff6e73e8350848a728ee0c63e92d0f1b295d398aca6a72394928
路
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