Instructions to use NOVA-vision-language/polite_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NOVA-vision-language/polite_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NOVA-vision-language/polite_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NOVA-vision-language/polite_bert") model = AutoModelForSequenceClassification.from_pretrained("NOVA-vision-language/polite_bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b673d0675c3bcad345bb5740f7c451440cf0cf02552298dbbe9bfbbfe25e192e
- Size of remote file:
- 438 MB
- SHA256:
- 0dfc86727355fa9819084f49e0c43b37d923f06439847e10343f8e7dae24a90e
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