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:
- f881dbca5e48d41fe1427e26b1cbc9d4d0a3226aee397f92d7efe5e5a7946892
- Size of remote file:
- 244 MB
- SHA256:
- fe3f2e45dad24832ce1dc7e8e6b70a6c46ac10424b20e8a0b4840ba21ae025a3
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