Instructions to use amazonqa1029/pc-6-2-roberta_squad2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amazonqa1029/pc-6-2-roberta_squad2.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="amazonqa1029/pc-6-2-roberta_squad2.0")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("amazonqa1029/pc-6-2-roberta_squad2.0") model = AutoModelForQuestionAnswering.from_pretrained("amazonqa1029/pc-6-2-roberta_squad2.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 352fde6f72c45fb13df6ec69cce4bc2aec2bebc7157f9deb11426d3ce5dc8de4
- Size of remote file:
- 496 MB
- SHA256:
- 16e1fcb7373ba886027e3cbd1dee1125707ec18313afd25f4ec58b45bea9ec0a
路
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