Instructions to use syfq/nogosakti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syfq/nogosakti with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="syfq/nogosakti")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("syfq/nogosakti", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 855eda6fb6d66b1fb4ca72fc2c603490c08fe26eee221cf8d38c3f6a6541c0f6
- Size of remote file:
- 11.4 MB
- SHA256:
- 64e71213db910f5cafa86d35091f37393dcc344b1bbc34091d1b3eed4cca01d5
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