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:
- 0c76bfea56fa2b62ce947ae5d7db024ec52914eecd6bd4f7220bb37392045898
- Size of remote file:
- 3.12 kB
- SHA256:
- ab898daa4191a27116edd1470e0a9937d850c3be76d967499923db0b51e2c0b9
路
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