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:
- 4f251327e7e09434f0cd9552a5ac29efeceb16b3840aa982f513184a9cdca049
- Size of remote file:
- 436 MB
- SHA256:
- 84ac41d179e73e81126b9e545c612a5c4cecc2cd9e8a8f9c1b02f7f8ef797cb9
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