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:
- 3a4378d0cd63d92f434ac2df9111186761f59050c3e2c1e1ab43887a8f2ac94b
- Size of remote file:
- 1.33 GB
- SHA256:
- 50221e4dae8ea924fd68074720281c37e94402932fdece34ba52a9d0a3a5ea37
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