Instructions to use tkarr/distilbert-base-uncased-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tkarr/distilbert-base-uncased-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="tkarr/distilbert-base-uncased-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("tkarr/distilbert-base-uncased-squad") model = AutoModelForQuestionAnswering.from_pretrained("tkarr/distilbert-base-uncased-squad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7cf09840e8b51f9c51bde8e68bb8944e5df72ed28e5c8966bf417da8d17e2ef7
- Size of remote file:
- 531 MB
- SHA256:
- 8fb3623b451efe037fe372266cd4c25a7a9eee0c13f2fa490744cc3d9eb14aec
路
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