Instructions to use BaselMousi/distilbert-qa-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BaselMousi/distilbert-qa-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="BaselMousi/distilbert-qa-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("BaselMousi/distilbert-qa-squad") model = AutoModelForQuestionAnswering.from_pretrained("BaselMousi/distilbert-qa-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e755a2164369934719b9647d135481668212841ce8e6a6312f01c92e917d8c94
- Size of remote file:
- 5.37 kB
- SHA256:
- d8e8770b69b841581904175b24da715eaeaabc4368f7b41895860bd87fbff532
路
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