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:
- f82c24b4b4c2bcf177d425ff83d333028bedbbe15deb8531ec602931e69675f6
- Size of remote file:
- 334 MB
- SHA256:
- 22c9b4aaded6d56a99e3c02439eca34ce9a883cf51c9c8a29be2a886cbfa6710
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