Instructions to use pinecone/bert-reader-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pinecone/bert-reader-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="pinecone/bert-reader-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("pinecone/bert-reader-squad2") model = AutoModelForQuestionAnswering.from_pretrained("pinecone/bert-reader-squad2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed7771b5d8f2dfb08de67bf8f54313ce9b131ff06229cfcd0bfbbbee877bf0b3
- Size of remote file:
- 2.86 kB
- SHA256:
- 10df51110260e8f13d920d8e138233230b79e68c1c1dc91497e3c45eab340d4a
路
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