Instructions to use amjad101/bert-v3-categories with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amjad101/bert-v3-categories with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="amjad101/bert-v3-categories")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("amjad101/bert-v3-categories") model = AutoModelForSequenceClassification.from_pretrained("amjad101/bert-v3-categories") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa2a42bffb96781f34149b334900fe1debab1ab1364799e8a701f87b383b0b93
- Size of remote file:
- 3.52 kB
- SHA256:
- 8d14d28373456cb9cdc2ebc46a02eebdb58ab276c3dca96fcee373dca6d264b1
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