Instructions to use pythonist/bert-base-cased-PubmedQAmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pythonist/bert-base-cased-PubmedQAmodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="pythonist/bert-base-cased-PubmedQAmodel")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("pythonist/bert-base-cased-PubmedQAmodel") model = AutoModelForQuestionAnswering.from_pretrained("pythonist/bert-base-cased-PubmedQAmodel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 956ee70ec4004b2165db77bb7320069c3bc1d1d5034e4e7ef821db4a6ee4427a
- Size of remote file:
- 431 MB
- SHA256:
- e7bf6efa1d01ba742f5815995d45186a56b5423bd8145e01d519d52d574c8b36
路
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