Instructions to use hendryset112/m-bert-formalityClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hendryset112/m-bert-formalityClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hendryset112/m-bert-formalityClassifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hendryset112/m-bert-formalityClassifier") model = AutoModelForSequenceClassification.from_pretrained("hendryset112/m-bert-formalityClassifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a05dc95e4bd84642497fee86afee2a6891b22c6a01f8ccea46aeff9af5f15959
- Size of remote file:
- 711 MB
- SHA256:
- efe3ff51e56fd4c2a31da4f4ae62a4765f1036a8defdba185199cdaed8439e1a
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