Instructions to use greatakela/deep_pavlov__qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use greatakela/deep_pavlov__qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="greatakela/deep_pavlov__qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("greatakela/deep_pavlov__qa_model") model = AutoModelForQuestionAnswering.from_pretrained("greatakela/deep_pavlov__qa_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f00decea5660c4062c27bad1c6b11f4d491b7f8508ba286155c4f29bac631f9
- Size of remote file:
- 709 MB
- SHA256:
- 4c4d93bba3ccdeb7737a238e89729499d9b09107e5af71e9c12438ac57c4cc89
路
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