Instructions to use hynky/Server with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hynky/Server with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hynky/Server")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hynky/Server") model = AutoModelForSequenceClassification.from_pretrained("hynky/Server") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d9fbc33fc43abc7d50984324893a09e1beb7e620670c20f9c8466e80611d3b2
- Size of remote file:
- 504 MB
- SHA256:
- 4fb1b7ae50a21436767441f4891a7725e8722bd8b2f22fd4b288f137a0f904af
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