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:
- 9899ad7fe3680af4c4f7ceb01e7b1ebb2a32d26de0d17e3d8cc5f94e715a120c
- Size of remote file:
- 4.54 kB
- SHA256:
- 2e73d08f57df7b6bff5a31c92b5deb38659b503c4dbcb6c882181fd7067b15af
路
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