Instructions to use KBLab/bert-base-swedish-cased-squad-experimental with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KBLab/bert-base-swedish-cased-squad-experimental with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="KBLab/bert-base-swedish-cased-squad-experimental")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("KBLab/bert-base-swedish-cased-squad-experimental") model = AutoModelForQuestionAnswering.from_pretrained("KBLab/bert-base-swedish-cased-squad-experimental") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40e9783174af7ffdd3e063c0e87077ba9da9f768336ff7f89cd56b9ee1ece373
- Size of remote file:
- 499 MB
- SHA256:
- f6bfe584965b60f2a09e3b68841f56a1fcff7d74fe63d38d50b1bd69d4086a55
路
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