Instructions to use krinal214/augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krinal214/augmented with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="krinal214/augmented")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("krinal214/augmented") model = AutoModelForQuestionAnswering.from_pretrained("krinal214/augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc1da4698e4cab0f63cce1ca3cdd4d3f61d0c499b7bf923d47426b28037a1894
- Size of remote file:
- 709 MB
- SHA256:
- 7aae4522b7f7f48dd874a4447a5ec7a06c78a9be294994970e175658e79104f2
路
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