Instructions to use AntoineBlanot/roberta-large-squadv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AntoineBlanot/roberta-large-squadv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AntoineBlanot/roberta-large-squadv2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AntoineBlanot/roberta-large-squadv2") model = AutoModelForQuestionAnswering.from_pretrained("AntoineBlanot/roberta-large-squadv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 955a3071652d0e687aa578b3292d75b0c2d7114ca414bc43dcf6b42751d73a06
- Size of remote file:
- 1.42 GB
- SHA256:
- 711dd0707c70e66af174180f3e333ac6856b73432fb5ef8c70900d387379689d
路
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