Instructions to use ICTuniverse/CafeBERT-FC-one-shot-viwiki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ICTuniverse/CafeBERT-FC-one-shot-viwiki with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ICTuniverse/CafeBERT-FC-one-shot-viwiki")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ICTuniverse/CafeBERT-FC-one-shot-viwiki") model = AutoModelForSequenceClassification.from_pretrained("ICTuniverse/CafeBERT-FC-one-shot-viwiki") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 539c86a16c0a2032c37f287ce17fd55a2fa32870551fb04869cc1118255f67ae
- Size of remote file:
- 17.1 MB
- SHA256:
- 61933031e2e4f42c3c1cb58e86d83618d05e1c22bd10c2d2a01efd33ba241989
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