Instructions to use ShynBui/s13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ShynBui/s13")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s13") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s13", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4820bae087afa7bcfcc19e531c7cf9528d8b03abc3714e5ef4d3c31690f4f7f
- Size of remote file:
- 4.6 kB
- SHA256:
- 95552f13105f503b90e73fc31596c033b693160d53fde5ee2df9829fdab849a8
路
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