Instructions to use smrynrz20/distilbert_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smrynrz20/distilbert_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="smrynrz20/distilbert_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("smrynrz20/distilbert_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("smrynrz20/distilbert_qa_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6a9e81007802574b741bf81fd5701a6cfa89201e08f26efd6ded552a471d421
- Size of remote file:
- 265 MB
- SHA256:
- 26263d29b92dc5ede846f1dcd2c8fca813567d47a49be06259b51b013541630d
路
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