Instructions to use amazonqa1029/pc-4-10-roberta_squad2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amazonqa1029/pc-4-10-roberta_squad2.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="amazonqa1029/pc-4-10-roberta_squad2.0")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("amazonqa1029/pc-4-10-roberta_squad2.0") model = AutoModelForQuestionAnswering.from_pretrained("amazonqa1029/pc-4-10-roberta_squad2.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 084ff10a5ef9014139493c12ae4683651786bc0afdcc226d9f24d0ae45fe7904
- Size of remote file:
- 496 MB
- SHA256:
- 9cdfe223a1c9fd1ffaf323eace2a1c4bf51fa028bcac585c02e66aba10885f8d
路
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