Instructions to use AnonymousSub/bert-base-uncased_squad2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/bert-base-uncased_squad2.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AnonymousSub/bert-base-uncased_squad2.0")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/bert-base-uncased_squad2.0") model = AutoModelForQuestionAnswering.from_pretrained("AnonymousSub/bert-base-uncased_squad2.0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0aec6e9be0441a8e067f48a2e784b1cf1755448446e513028a080d27c342e33
- Size of remote file:
- 436 MB
- SHA256:
- 6564ee5764a087eac889285612510569beb8b04a0c67de534b6b8ba883619def
路
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