Instructions to use christti/distilbert-base-cased-distilled-squad-augmented1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use christti/distilbert-base-cased-distilled-squad-augmented1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="christti/distilbert-base-cased-distilled-squad-augmented1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("christti/distilbert-base-cased-distilled-squad-augmented1") model = AutoModelForQuestionAnswering.from_pretrained("christti/distilbert-base-cased-distilled-squad-augmented1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad979fa4847193c29c3544ac5518da163b869a671ce2f622adc5fa60aae4b6d2
- Size of remote file:
- 261 MB
- SHA256:
- 158b796ae028e3e02c3dfbe5ef64d6b119a7ddebe7343b61d728c354c1a568ce
路
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