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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2006813311a510f16788836c9b7b2c66902a836c97f99e19110a40e1aa3eab0a
- Size of remote file:
- 436 MB
- SHA256:
- eb6762e136a62c2b90560110303294f7af2dac879d7158b0d1a89f2374c7a551
路
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