Instructions to use maruffarras/vensys-click-judge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maruffarras/vensys-click-judge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="maruffarras/vensys-click-judge")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("maruffarras/vensys-click-judge") model = AutoModelForSequenceClassification.from_pretrained("maruffarras/vensys-click-judge", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26e706e1c348dcadb4f57c5e9ea17115bfa51fabd4118fda4704f0bc560bef6e
- Size of remote file:
- 5.2 kB
- SHA256:
- c12d35c88799a6e050fa62c656c45be1d49f5c7809e02342041bb7d5ae5c514a
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