Instructions to use nlp-magnets/bert-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlp-magnets/bert-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="nlp-magnets/bert-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nlp-magnets/bert-qa") model = AutoModelForQuestionAnswering.from_pretrained("nlp-magnets/bert-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 655020586c1eb7c428e59367696a4926fcac7891a1d467854cc214732af6a310
- Size of remote file:
- 436 MB
- SHA256:
- 3a39f16c8fccdc8c4aea9fabdab28ad4b5728aae70a3f9770b9ea9de117495ed
路
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