Instructions to use SynamicTechnologies/CYBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SynamicTechnologies/CYBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SynamicTechnologies/CYBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SynamicTechnologies/CYBERT") model = AutoModelForSequenceClassification.from_pretrained("SynamicTechnologies/CYBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d64ee73c8d6b1e6df22cd8997df9c7c707da146bc1679b65888d8d419a37b06
- Size of remote file:
- 2.29 kB
- SHA256:
- f9439b42f4e21f3735c2cf3580130c3d4daaa17f5396214f180f9b2e33a88000
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