Instructions to use amjad101/messageClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amjad101/messageClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="amjad101/messageClassifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("amjad101/messageClassifier") model = AutoModelForSequenceClassification.from_pretrained("amjad101/messageClassifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4b8cb62be607f5923ccee7c29c8e85f18d0b679fd10ebacfbba6d11fd267a80
- Size of remote file:
- 3.52 kB
- SHA256:
- 3932c4d1fac4218414d945b1ca65107224708592ebe57b8bd077a39e56caa7c0
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