Instructions to use jacinthes/cross-encoder-sloberta-si-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jacinthes/cross-encoder-sloberta-si-nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jacinthes/cross-encoder-sloberta-si-nli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jacinthes/cross-encoder-sloberta-si-nli") model = AutoModelForSequenceClassification.from_pretrained("jacinthes/cross-encoder-sloberta-si-nli") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f337c05a28ba1dc90724f36ac19b6d65b23ee2ec13e1cb283be70b8cabcd1cb
- Size of remote file:
- 800 kB
- SHA256:
- 34b589385a2320549143ab23b0ccf82cc99a82685701cdabe0fad847bd0479ff
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