Instructions to use Surpem/Sarden1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Surpem/Sarden1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Surpem/Sarden1")# Load model directly from transformers import Sarden1 model = Sarden1.from_pretrained("Surpem/Sarden1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87ef5c79bdbb98749230825812e0914543208d4242497865da77743f4b1d80df
- Size of remote file:
- 1 GB
- SHA256:
- 5d46db240796db464b20bc4dbc93096fab2844ef01255e4e7f2312d833cd2d2a
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