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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29fb92c77747cc1f724749456f1b0b734484de08fe6082c711ab3cd1482c73b7
- Size of remote file:
- 3.58 kB
- SHA256:
- 589390cb0e2545a352477615cfa15b1072b44550387d255c544c775bb2ca8a0f
路
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