Instructions to use gplsi/VILLANOS_va with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gplsi/VILLANOS_va with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaForSequenceClassificationFeatures tokenizer = AutoTokenizer.from_pretrained("gplsi/VILLANOS_va") model = RobertaForSequenceClassificationFeatures.from_pretrained("gplsi/VILLANOS_va") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 473791c4d4f96ecce4252538afd8af1c68671de676ae674829bf8d98152e99a3
- Size of remote file:
- 3.32 kB
- SHA256:
- ad167836cfc74157deb8663551540341218bebac5373b971afa6ba7b842a5190
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