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:
- 068987aea4bb87751476e232ea76542c0e4e1c5be5e85232d03607dd7eedaa55
- Size of remote file:
- 436 MB
- SHA256:
- 46a9a8f1d16d24627777c26b0f49a36e7a509aacf5625e320bf8051617daf415
路
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