Instructions to use pierreguillou/bert-large-cased-squad-v1.1-portuguese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pierreguillou/bert-large-cased-squad-v1.1-portuguese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="pierreguillou/bert-large-cased-squad-v1.1-portuguese")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("pierreguillou/bert-large-cased-squad-v1.1-portuguese") model = AutoModelForQuestionAnswering.from_pretrained("pierreguillou/bert-large-cased-squad-v1.1-portuguese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a7a32543970ecf39fde4b9c1158093d5c3c93d06ad9a777f8cc1c0949de6804
- Size of remote file:
- 1.33 GB
- SHA256:
- 96fac383e24115f2df3a1ce121ed3d93c6af5bc1f7379c11319e20729b11d6df
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