Instructions to use Li/roberta-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Li/roberta-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Li/roberta-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Li/roberta-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("Li/roberta-base-squad2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 902ae7bf1761e27ac76724d236bb56a8789f2fbe9659fb6597599c19652e478a
- Size of remote file:
- 496 MB
- SHA256:
- 61e30934213c206fd07c2de14da0c4c89cb99d23404315c669d6d93565abcedd
路
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