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:
- 698c0b2fd432876682a2c2bd248bd078866b8dbb0c8f04d2481f383bc2241487
- Size of remote file:
- 438 MB
- SHA256:
- abfea284ec6edf6f49441a22f5888d188bc34a7f8108221e2f05e919db762f06
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