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:
- cacc922f69ad8855042cabd92826f5fe8116fcc4d74450b76c0ac0f2ad14afdc
- Size of remote file:
- 431 MB
- SHA256:
- 30505bb52a31ba57a1b1a27e1a91a7cd414b32a1a24f15147712f5fa15b45be0
路
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