Instructions to use zelcakok/bert-base-squad2-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zelcakok/bert-base-squad2-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="zelcakok/bert-base-squad2-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("zelcakok/bert-base-squad2-uncased") model = AutoModelForQuestionAnswering.from_pretrained("zelcakok/bert-base-squad2-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3122f59bd5eea475c695b9f0bf4e303db04e1b12794bb1f8f2220a9446e72629
- Size of remote file:
- 436 MB
- SHA256:
- 82933b49837b892685703971d0dcf691585a999a9d5e75adeac24e3fdc0231c5
路
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